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SNEHASIS BANERJEE

Scientist, TCS Research

Guest Faculty, IIIT-G

SM: IEEE, CSI, ACM

  Kolkata, India

  Seeker of Computer Science, Metaphysics, Consciousness

   Research Interests: Cognitive Robotics, Web Reasoning, Machine Learning, Recommender Systems
   Development Interests: Full Stack Development, Python, Java, GraphQL, SPARQL, Matlab, R, C/C++

   For employment / internship in TCS Research, send CV/Resume to snehasis.banerjee@tcs.com
   Contact only if you satisfy: ≥ 80% or 8 CGPA overall & from NIRF 100 CS/IT || have CORE publication

Professional Experience:

  • Tata Consultancy Services Limited (TCS), Nov 2009 -
    • Lead Research Scientist at TCS Research, Cognitive Robotics Group (since April 2021)
    • Scientist at TCS Research & Innovation, IoT Analytics Group (since July 2017)
    • Researcher at Innovation Labs, involved in AI projects (since August 2010)
    • Earlier Developer at NSN Germany Web Calypso R&D project
  • CSE Department at IIIT-G, August 2021 -
    • Guest Faculty, Deep Learning CS684 Course for Master of Engineering
Education:
  • International Institute of Information Technology, Hyderabad (IIIT-H)
    • PhD in Computer Science & Engineering, Robotics Research Center (RRC), 2022 -
    • Guide: Prof. K Madhava Krishna [ranked #1 in AI in India & #2 in Robotics in Asia]
  • Jadavpur University (JU), Kolkata
    • ME - Master of Engineering (Software) at Department of IT, 8.55 CGPA, 2015
    • Thesis: Stream Reasoning based Recommender System
    • Guides: Amit Konar , Utpal Kumar Ray [ranked #1 state university in India]
  • Netaji Subhash Engineering College (NSEC), Kolkata [WBUT: NAAC, NBA, TEQIP]
    • B.Tech - Bachelor of Technology in Computer Science & Engineering, 8.49 DGPA, 2009
  • South Point High School (SPHS), Kolkata [WB Board: # 1 academic school in India in 2005 ranking]
    • [10+2] Higher Secondary Examination in Science, 82.9 % marks, 2005
    • [10] Madhyamik Examination, Additional Maths, 89 % marks, 2003
  • International Summer Schools: Machine Learning (MLSS) in 2016; Reasoning Web (RW) in 2013, 2014
  • MA - Master in Philosophy at IGNOU (NAAC A++), 2021-
  • Bhushan in Fine Arts - Painting (Pracheen Kala Kendra) (Guide: Prosenjit Acharya) Link

    Professional Projects:
  • * Cognitive Robotics - Planning, Reasoning, Reinforcement Learning, Visual Understanding
  • Covid-19 Tracker Mobile App & Cloud Analytics (in likes of Aarogya Setu App, 1st patent holder)
  • 1-D Sensor Data Analytics Automation Framework
  • Automation of Feature Engineering [ target: ignioTM ]
  • Health-care Analytics (with Fortis)
  • RIPSAC / TCUPTM - analytics (Winner - Tata Innovista 2014 under Leading Edge category)
  • Sensor Explorer and Algorithm Recommender
  • Stream Reasoning
  • TV Program Recommendation
  • * Artificial Consciousness (hobby project)
    • codename 'Cetas' ( चेतस् / চেতনা) - Thinking Machine
    • codename 'Pranas' - Actuating Machine
    • 1st Workshop on Artificial Consciousness - ArtCons (with Yoshua Bengio)
    • Sadhguru answers my question - Local can be done by 'Identity': Youtube Link. Addendum: Link
    Personal Projects:
  • Mega Productivity Tool - WIP
  • Financial Planning for Indians - Kindle Book - 2023 release
  • Indian Stock Market Predictor using LLM, DL - WIP
  • Proof of P ≠ NP using geometry - WIP Link


❖ Technical Career:
  • Recognition - Fellow of IETE, 2022 Link
  • TCS Distinguished Contextual Master 2022 Link
  • Winner - ProxiTrak - IoT Breakthrough Award, 2022 Link
  • Top Seed - Teledrive - TCS Innovista 2021
  • TCS Contextual Master 2021 Link
  • Winner - CSI Young IT Professional Award Region-II (2021) Link
  • Recognition - ICML 2020 Top Reviewer
  • Recognition - TCS Invent & Inspire Scientist, 2020 Link
  • Recognition - Senior Member, IEEE, 2020
  • Recognition - Senior Life Member, CSI (Computer Society of India), 2019
  • Award - CSI Best Newsletter Award at CSI 2020 (Designer & Editor of Hardcopy) Link
  • Award - CSI Best National Chapter (Kolkata) at CSI 2020 (serving as Treasurer) ↑
  • Award - NeurIPS 2019 registration waiver ($ 750)
  • Award - ACM Senior Member, 2019 (Association for Computing Machinery) 1 2
  • Winner - ICSE Contest 2019, sponsored by Monash University (Oculus Go)
  • Winning Paper - TCS Global Stylus Paper Contest 2019 Link
  • Award - Machine Learning Summer School 2016 registration waiver ($ 400)
  • Best Paper - Tactics Analytics Symposium 2015
  • TCS internal achievements / leadership trainings - Ascent, IP, Citation, Metamorph, Transcend, Wings, Elevate, Best Team
  • TCS Inspire Hi-Po Leadership Batch 2017-19. [selected TCS leaders next in succession]
❖ Miscellaneous:
  • Jadavpur University ME program: 2nd in batch, 2015
  • Member of Mensa - High IQ Society
  • 63 State Rank Scholarship at class 10
  • National Talent Search Exam @South Point - A++, 2001
  • 19 state rank @ All Bengal Art Contest, 1997 Link

  1. Talk on "Breaking the Wall of Contact Tracing in Pandemics" - International Falling Wall Labs, Hyderabad, 2022.
  2. Talk on "Post Covid Digital Tech" - CSI Regional Convention 2020.
  3. Tutorial - "ML: Industry Perspective & Applications" at IEEE R10 Tensymp 2020
  4. Talk on "Contact Tracing for Covid19" at CSI Kolkata Office - Evening Lecture Series, May 2020.
  5. Invited Speaker- IIIT and ITER, Bhubaneswar on topic "AI & ML: Industry Perspective"
  6. Invited Speaker - DRDO Young Scientist Meet 2019 - representing ACM
  7. Talk on "Career Guide in age of AI" :CSI West Bengal Student Convention @JIS, Kalyani.
  8. Talk on "Understanding AI & ML" @AOT, Adisaptagram (24 Oct); BCREC & BCET, Durgapur (25 Oct, '19)
  9. Talk on "Understanding ML" - 31 Aug, 2019 - Asansol Engineering College
  10. Talk on "Career Guide: Digital Industry & Beyond" - 20 Aug, 2019 - MAKAUT Govt. of WB, Haringhata
  11. Talk on "AI: building blocks" 11 Jan, 2019 - NIT Durgapur
  12. FDP on "Knowledge Representation & Reasoning", Kalyani Govt. Engg. College
  13. Talk on "Practical Deep Learning" - University of Calcutta
  14. Talk on "Big Data Analytics" - Techno India Salt Lake, Kolkata
  15. CSI-KC Lecture Series - "Head Start Web Presence" - 1 Jun 2018 - CSI Kolkata Office, Elgin Road
  16. ACM Student Chapter Expert Talk & Hands-On: "Science of Data" - 4 May 2018 - TICT, Kolkata
  17. Talk on "AI: A philosophical and practical perspective" - 17 Apr 2018 - BIT, Mesra
  18. Talk and Hands-On in Data Science with R Workshop - 23 Mar 2018 - GCECT, Kolkata (under TEQIP III)
  19. ACM Student Chapter Expert Talk on Machine Intelligence 27 Feb 2018 - Techno India Salt Lake, Kolkata
  20. Intelligent Computing Seminar - Talk on AI - 16 Jan 2018 - DSEC, Kolkata
  21. Tutorial on IoT Analytics at EAIT 2018 conference [TICT and IIEST Shibpur] 19 Jan 2018.
  22. Faculty Interaction Program @ Kalyani Government Engineering College, West Bengal - 15 Dec 2016 - "Diving Deep into Learning" - teaching faculty theory, open problems and future guidance
  23. Faculty Development Program (FDP) @ CV Raman College of Engineering, Bhubaneswar - 16 July 2016 - "Applications of Machine Learning with Deep Learning" - teaching faculty theory and hands-on of ML/DL
  24. National E-Summit 2014, Kalyani, India - Lecture on "Employability Skills" - JIS Engineering College
  25. CIKM 2013, San Francisco, USA - workshop Web-KR "Web scale stream reasoning: Challenges and Future Directions"

  1. Professional Memberships: Sr. Member of ACM, IEEE, CSI; Life member of ISCA, Fellow of IETE.
  2. Program Committee (Reviewer):- ICLR, ICML, NeurIPS, ICRA, WACV, IROS, CASE, KDAH (CIKM), SMC, IEEE Retis, ICCIDM , ICSNCS, EAIT, ParLearning (IEEE IPDPS), ICACCI , ANTS, IEEE ISED, Springer ICAC, AIoTAS, IEEE BigData, IoTBB, ACM Compute.
  3. Program Co-chair: IEEE TENSYMP 2019 Machine Learning & Data Science Track
  4. Manuscript Reviewer of Manning Books
  5. Member of Panel of Times Higher Education Ranking of World Universities since 2016
  6. Member of Software and Systems Engg. Committee, ISO/IEC/JTC1/SC7 with NASSCOM [India's representative]
  7. Member of IEEE Working Group for Industrial Robotics Safety
  8. Member of ACM Global Practitioner Advisory Community [the global group of 100 computing professionals] Link
  9. Web Admin of ACM Kolkata and Hon. Treasurer, ACM Kolkata Chapter (term 2021 - ). Ex-Hon. Secretary.
  10. Ex-Web Admin (2018-20), Ex-News Letter Editor (2018-20) & Ex-Treasurer of CSI Kolkata Chapter (2019 - 20)
  11. Digital Impact Square Hackathon 2016, Mumbai / Nashik - Ideathon Jury and Tech Mentor in AI and Web Dev
  12. Industrial Jury, ACM Kolkata Project Award, East & North-East Region, India Link
  13. Industry Jury, IEEE RO-MAN 2019 @ Socialis Impremiere - Robotics in the Social Context
  14. Jury, 1st National Hackathon on Self-Reliance Based Intelligent India Hackathon (CSI SRIIH)
  15. Star Moderator & Technology Expert - TCS Campus Commune Artificial Intelligence Channel
  16. Lead, CSPathsala (West Bengal) initiative backed by TCS, ACM and Google - Link
  17. Listed as Resource Person in AI - CSI Region 2 (India East)

  Organizing / jury / mentor :-
  1. ACM India East Hackathon - HackADay 22 - organizer
  2. CSI ICCA 2021 - organizer
  3. CSI EAIT 2021 - organizer
  4. CSI SRIH 2020 - organizer & jury
  5. ACM India East Hackathon - HackADay - mentor
  6. CSI Region 2 (India East) Student Convention 2019 - jury
  7. IEEE Ro-MAN 2019 competition, Le Meridian, New Delhi - jury
  8. ACM CODS COMAD 2019 @Swiss Hotel - organizer and host
  9. ACM B.Tech Project Award India East & North-East @CU - Jury
  10. CSI 2017 Annual Event, Kolkata @CU and Science City - organizer and host
  11. ACM India Annual Event 2017, Calcutta University & Amity University, Kolkata - organizer
  12. Digital Impact Square Hackathon 2016 [organized by Hasit Kaji, VP, TCS] - Jury and Mentor
  13. CSI 2012 Annual Event, Science City, Kolkata [ representing TCS ] - organizer

  1. Method and System for Area Goal Navigation for Indoor Robots (2022)
  2. Object Goal Navigation using Spatial Graph and Trajectory History (2022)
  3. Task Ambiguity resolution in cognitive robotics (2021)
  4. Ontology guided semantic scene understanding for indoor service robots (2021)
  5. A Teledrive System based on Smart Cognitive Navigation (2021)
  6. Graph Analytics for Contact Tracing in Pandemics (2020)
  7. Real-time monitoring of proximity between a plurality of computing devices (2020) Link
  8. Safe and Reliable Task Planning (2020)
  9. Knowledge partitioning for task execution by conversational tele-presence robots in a geographically separated environment (2020) Link
  10. System and Method to Utilize Domain Knowledge to Automatically identify Solution to a Problem (2019) Link
  11. System and Method for extending Reasoning capability for Data Analytics in IoT Platform (2018) Link
  12. Automation of data analytics in an internet of things (iot) platform (2018) Link
  13. System and Method for obtaining optimal mother wavelets for facilitating machine learning tasks (2017) Link
  14. Signal Analysis Systems and Methods for Features Extraction and Interpretation Thereof (2017) Link
  15. System and Method for Signal Analysis (2017) Link
  16. Method and System For Recommending Features For Developing an IoT Application (2016) Link
  17. Systems And Methods For Time-Frequency Analysis Of PCG For Classifying Heart Disease (2016)
  18. System and Method for Coronary Artery Disease detection using PPG (2016)
  19. System and Method for Sensor Search (2014)
  20. A System and Method for executing SPARQL query (2014) Link
  21. Notifying a User Subscribed to Multiple Software Applications (2013) Link
  22. Window Management for Stream Processing and Stream Reasoning (2013) Link
  23. System and Method for Smart Public Alerts and Notifications (2013) Link
  24. A System & Method for Reasoning & Running Continuous Queries Over Data Streams (2012) Link
  25. A Method and System for Context-aware Recommendation (2011) Link
  26. System and Method for Demographic Analytics based on Multi-modal Information (2011) Link

Note: It takes over a year for a filed patent to get published, and it takes 2-10 years to get a grant based on region of filing.

  1. S. Banerjee, et. al. Object Goal Navigation Based on Semantics and RGB Ego View, AI&R Workshop, IROS 2022 |1| |2|
  2. Pramanick, P., Sarkar, C., Banerjee. S, et al. Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot. Elsevier RAS 2022. |1|2|
  3. Snehasis Banerjee et. al. Teledrive: An Embodied AI based Telepresence System (submitted IJSR 2022)
  4. N Gireesh, DASK, Snehasis Banerjee, et. al. Object Goal Navigation using Data Regularized Q-Learning. IEEE CASE 2022.
  5. DASK, Kritika Anand, CK, Gulshan Kumar, NG, Snehasis Banerjee, et. al. Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation. IEEE CASE 2022.
  6. Snehasis Banerjee et. al. Teledrive: A Humane Telepresence System with Cognitive Navigation, HBCR workshop, IROS 2021. |1| |2|
  7. Bhattacharyya, A; Sau, A; Roychowdhury, R; Banerjee, S. et. al. Teledrive : An Intelligent Telepresence Solution for 'Collaborative Multi-presence' through a Telerobot. COMSNETS 2022. |1| |2| |3|
  8. Snehasis Banerjee et. al. OntoScene: Ontology Guided Indoor Scene Understanding for Cognitive Robotic Tasks, ISWC 2021. |Link| |2|
  9. Snehasis Banerjee. Cognitive Robotics: Research Questions. CSI Comm. Oct '20. Pg. 33. Link
  10. Snehasis Banerjee et. al. SemNav: How Rich Semantic Knowledge Can Guide Robot Navigation in Indoor Spaces. ISWC 2020. |1| |2|
  11. Snehasis Banerjee et. al. Graph Analytics on Human Proximity Data to Fight Contagion. KDAH, CIKM 2020. |1| |2|
  12. V Chandel, Snehasis Banerjee et. al. ProxiTrak: A Robust Solution To Enforce Real-Time Social Distancing & Contact Tracing In Enterprise Scenario. CPD Workshop, UbiComp 2020. |1| |2|
  13. Snehasis Banerjee. Towards Safe & Reliable Task Planning. AISafety Workshop, IJCAI 2020. |1| |2|
  14. Snehasis Banerjee et. al. ProxiTrak - A Smart Contact Tracing System to Fight Covid-19. EMBC 2020. Link
  15. Snehasis Banerjee. Semantic Web Meets Cognitive Robotics. CSI Comm. May '20. Pg. 33. Link
  16. Snehasis Banerjee. Robotic Motion Planning. CSI Communications. April '20. Pg. 28. Link
  17. Snehasis Banerjee et. al. A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics. International Journal of Automation and Computing. Springer Nature IJAC. 2019. Citescore: 2.34. |1| |2|
  18. Snehasis Banerjee et. al. A Software framework for Procedural Knowledge based Collaborative Data Analytics for IoT. ACM IEEE ICSE Workshop 2019. Montreal, Canada. 1| |2|
  19. Snehasis Banerjee, An Architecture and Method for Exploiting Domain Knowledge to enable MFDM, TCS Stylus Paper Contest 2019. [Winning Paper]
  20. Snehasis Banerjee et. al. Interpretable Feature Recommendation for Signal Analytics, CIKM IDM 2017. Singapore. |1| |2|
  21. Snehasis Banerjee et. al. Automation of Feature Engineering for IoT Analytics. ACM SIGBED Review 2018. In Proc. of AIoTAS, ISCA Workshop, Toronto, Canada, 2017. |1| |2| |3|
  22. Snehasis Banerjee et. al. Towards Wide Learning: Experiments in Healthcare. In Proc. of Machine Learning for Health Workshop, NIPS 2016. Barcelona, Spain. |1| |2|
  23. Rohan Banerjee, Swagata Biswas, Snehasis Banerjee, et al. Time-Frequency Analysis of Phonocardiogram for Classifying Heart Disease, CinC 2016. [MIT Physionet 2016 Challenge paper] |1| |2|
  24. Sinharay, Arijit; Pal, Arpan; Banerjee, Snehasis; et al. A Novel Approach to Unify Robotics, Sensors, and Cloud Computing through IoT for a Smarter Healthcare Solution for Routine Checks and Fighting Epidemics. Concept Paper. HealthyIoT @ IoT 360, Rome, Italy, 2015. |1| |2|
  25. T Chattopadhyay, S Banerjee et al. Way to make ourselves redundant: A Semantic Framework for Automated Workflow Generation for IoT. TCS Tactics Analytics Symposium 2015 [Best Paper] Link
  26. Snehasis Banerjee, Abhisekh Mishra and Ranjan Dasgupta. Semantic Exploration of Sensor Data. In the Proceedings of Web-KR (CIKM Workshop). 2014. Shanghai, China. |1| |2|
  27. Snehasis Banerjee and Debnath Mukherjee. On Demand SPARQL Extension: a Case Study of extending Geo-SPARQL for Sensor Data Exploration in Semantic Cities. In Proceedings of AAAI (Workshop on Semantic Cities) , 2014, Quebec, Canada. AAAI 1| |2
  28. Snehasis Banerjee and Debnath Mukherjee. Towards a Universal Notification System. In Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence. 2013, Atlanta, Georgia, USA. |1| |2|
  29. Snehasis Banerjee and Debnath Mukherjee. Windowing Mechanisms for Web Scale Stream Reasoning. In the Proceedings of Web-KR (CIKM Workshop). 2013. San Francisco, USA. |1| |2|
  30. Mukherjee, D., Banerjee, S., & Misra, P. 2013. Towards Efficient Stream Reasoning. OTM 2013 Workshops ODBASE (pp. 735-738). Graz, Austria. |1| |2|
  31. Snehasis Banerjee, Debnath Mukherjee and Prateep Misra. 2013. What Affects Me? A Smart Public Alert System based on Stream Reasoning. In Proceedings of ACM ICUIMC (IMCOM) 2013. Jan 17-19. Kota Kinabalu, Malaysia. |1| |2
  32. Debnath Mukherjee, Snehasis Banerjee, and Prateep Misra. 2012. Ad-hoc ride sharing application using continuous SPARQL queries. In Proc. WWW '12 Comp. Lyon, France. pp. 579-580. |1| |2|
  33. Snehasis Banerjee, Plaban K. Bhowmick, Debnath Mukerjee, and Prateep Misra. 2012. Experiments on Synopsis-based TV Program Recommendation. CATA Conference. Las Vegas, USA. 2012. |1| |2|
  34. Mukherjee, D.; Banerjee, S.; Bhattacharya, S.; Misra, P.; , "A context-aware recommendation system considering both user preferences and learned behavior," International CITA '11, 2011 7th Conference on , vol., no., pp.1-7, 12-13 July 2011. Kuching, Malaysia. |1| |2|

Note: The copyrights of the publications are owned by their respective publishers. These publications are made available here solely for the purpose of personal study. Please do not use these publications in such a way as to violate the copyrights of the publishers.

  • Global Blockchain Congress @Biswa Bangla Convention, Kolkata - invited delegate
  • CMMI Workshop 2018 @Webel Bhavan, Kolkata - invited delegate
  • Embedded Systems Knowledge Workshop 2018 @Biswa Bangla Convention, Kolkata - invited delegate
  • Data Science Summit 2018 @India Habitat Center, Delhi - invited guest
  • 2nd Workshop on Pattern Analysis and Applications (IWPPAA 2018) @ISI, Kolkata - attendee Link
  • CSI Annual Convention 2018 - attendee
  • ACM Annual Event Conference 2017, Kolkata - attendee - met 2010's Turing Award winner
  • Workshop on Data Mining and Machine Learning 2016 - Indian Statistical Institute, Kolkata - attendee
  • Machine Learning Summer School 2016, University San Pablo, Arequipa, Peru - selected as student
  • Machine Intelligence Annual Workshop 2016, Indian Statistical Institute, Kolkata - attendee
  • ACM Annual Event Conference 2016, Trivandrum - attendee - met father of expert systems
  • ICSMB Conference 2016 @IIT KGP, Kharagpur 2015 - attendee
  • EAIT Conference Tutorial, 2015, Kolkata - attendee
  • 5-day course on Data Mining @IITKGP, 2015, Salt Lake Campus, Kolkata - attendee
  • 2-day Deep Learning Course @IIT-KGP 2015, Kharagpur - attendee
  • 2-day Big Data Workshop @ISI 2015, Kolkata - attendee
  • Research Methodology, CSI Workshop 2015, Kolkata - attendee
  • CIKM 2014, Shanghai, China - workshop Web-KR paper presenter and attendee
  • RW-RR 2014, Athens, Greece - poster presenter and attendee
  • AAAI 2014, Quebec, Canada - workshop Semantic Cities - paper presenter and attendee
  • IEEE/CSI Cybernetics Workshop 2014 - workshop at Indian Statistical Institute, Kolkata - attendee
  • ACM Text Mining Workshop 2014 - workshop at Indian Statistical Institute, Kolkata - attendee
  • Web Intelligence 2013, Atlanta, USA - poster presenter and attendee
  • CIKM 2013, San Francisco, USA - workshop Web-KR paper presenter, panelist and attendee
  • Reasoning Web Summer School 2013, University of Mannheim, Germany
  • IEEE Technical Lectures on Big Data Analytics 2013, Electrical Engg. Dept, Jadavpur University, Kolkata
  • IEEE Ubiquitous Cloud Computing Workshop 2013, SMC, Jadavpur University, Kolkata
  • Tactics Analytics Symposium 2013, India Habitat Center, New Delhi - participant at this TCS event
  • ACM ICUIMC 2013, Kota Kinabalu, Malaysia - conference paper presenter and attendee
  • Workshop on Machine Learning 2012, Indian Statistical Institute, Kolkata
  • CATA 2012, Las Vegas, USA - conference paper presenter and attendee
  • Tactics Telecom Symposium 2012, TCS, Kolkata - participant at this TCS event
  • CITA 2011, Kuching, Malaysia - conference paper presenter and attendee - 1st paper and conference
  • Workshop on Information Retrieval 2011, St Xavier's College, Kolkata - participant
  • Softcomp 2008 - Workshop on Soft Computing held at NSEC, Kolkata - I was a student participant; this was my first exposure to machine learning Link

Interviews: | Silicon India (2014) | Medium (2019) | ET Wealth (2022) |

Personal Interests: Consciousness, Traveling, Movies & Music, Teaching, Reading & Writing.

Volunteering:

  • Tata Pro-Engage: Digitally revamp NGO Paripurnata's web presence during 2017-18 |1| |2|
  • TCS Empower: Teaching low grade staff at TCS - English Speaking Skills, 2018 Link
  • TCS Pathsala program: teaching slum children at Kolkata - Science subjects, 2019

Trained in Shaolin Kung Fu at Academy of Martial Arts (guide: Sifu Rupam Roy)

Trained in Guitar at Guitar Sage (guide: Erich Andreas)

Ad-hoc Amateur Lichess Chess Player with ELO ~ 1500

My daughter Tanisha Banerjee studies at South Point School. Link

My wife Moumita Banerjee (B.Sc. Hons.) is the owner of the HUF family business. |1| |2|