Tamal Acharya

About Tamal Acharya

Hi, I’m Tamal, a Data Science and AI enthusiast who loves exploring and solving complex real world problems. I recently completed my Post Graduation in AI and ML and worked on some amazing real world projects and problems. I’d love to combine my passion for learning and teaching with my data science and AI skills to continue building personalized products for people and also keen on working on some real world and challenging problems. My day to day consists understanding and developing use cases, new tech, and upskilling on using machine intelligence within all stages of decision making & strategy. Understanding new methodologies, technologies and ways of thinking about problems/strategies. Proactively scout new technologies and understand its application to both hard and soft business areas. At best in VUCA (Volatile, Uncertain, Complex and Ambiguous) environments. Actively practice \"deep work\" and \"divergent thinking\".Currently exploring Quantum Computing and it\'s application in data science, AI/ML. I also love to explore and has interest in interdisciplinary research bridging artificial general intelligence, quantum computing, cellular automata theory, algorithmic information dynamics, algorithmic information theory, automata theory (Turing machines). Participated in various hackathons and summer schools organized by IBM, QWorld and The Coding School.Skills and Expertise: Machine Learning, Pattern Recognition, Classification, Data Mining and Knowledge Discovery, Supervised Learning, Advanced Machine Learning, Unsupervised Learning, Computational Intelligence, Feature Extraction, Feature SelectionTools & Instruments: H2o.ai - for various ML algos, R, Python, SAS, Tensorflow, Keras, Deep Learning, Neural Networks, Artificial Intelligence, Pandas, SciPy, NLTK, NLP, Data Science, Data Analytics, Analytics, Business Intelligence, Statistics, Computer Vision, GANs, Reinforcement Learning, Speech Recognition, NumPy, Recommendation Systems, Ensemble Learning, GNNs/Graph Theory/Topological Data Analysis/Tensor Networks/System Dynamics(exploring).Area of research interests include:• Quantum Machine Learning and Deep Learning/Quantum Computing/Quantum Neural Networks• Machine Learning/Deep Learning/Computer Vision• Natural Language Processing/Natural Language Generation/Natural Language Understanding• Explainable AI/Neural Networks• Various learning methodologies and architectures in neural networks.• Artificial General Intelligence/Cellular Automata/Algorithmic Information Dynamics/Automata Theory (Turing Machines)/Algorithmic Information Theory.

Experience

1. Assistant Consultant & Technical Lead - Advanced Analytics and Decision Science - Gen Ai Consulting

   Tata Consultancy Services

   Jul 2023 — Present · Bengaluru, IN

   Gen AI Solution Designing & Architecting - Understanding Generative AI for various industry use cases. Primary responsibility is to work with engineering chapter leads to improve the adoption of AI tools and also improve the AI led engineering maturity levels.ChatGPT, Large Language Models(LLMs), LangChain, RAG, Transformers. QnA chatbots, AWS Bedrock, Summarization. Building Gen AI QnA, chatbot, and summarization application PoCs using Langchain, Bedrock, Streamlit, Cohere.VectorDB + LLM + GPT + Digital Twin + Generative AI + MetaverseUsing Decisioning Analytics/Advanced Analytics and Decision Science to drive value and insight in Customer Decisioning Strategy.Support the solution of real world business problems using technologies and techniques from computer science to drive data-driven decisions and customer outcomes. Contribute your expertise to advance data-driven initiatives. My responsibilities: • Contribute and collaborate with cross-functional teams to solve real world business problems using advanced analytical techniques to drive data-driven decisions and customer outcomes.• Contribute to the collection, cleaning and pre-processing of complex data sets from diverse sources• Contribute to the design and development of machine learning models and statistical techniques to solve complex business problems• Prepare reports and presentations to communicate findings to stakeholders in a clear and concise manner• Source, clean and prepare large complex data sets for model building and other data science work• Learn and apply analytical techniques and tools to derive insights from the data and identify patterns and trends.• Learn and apply modeling and statistical techniques• Solve real world business problems using technologies and techniques from computer science to drive data-driven decisions and customer outcomes

Education

• Guru Nanak Institute of Technology , Kolkata

  Bachelor of Technology - BTech, Electronics & Instrumentation Engineering

  2005 — 2009

• The Coding School

  Certificate, Quantum Computing

  2020 — 2021

• 2021 Qiskit Global Summer School on Quantum Machine Learning

  Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning

  2021 — 2021

• Institute Of Engineering and Management

  MBA, Marketing/Marketing Management, General

  2010 — 2012

• Purdue University

  Post Graduate Program In ArtificiaI Intelligence and Machine Learning, Data Science

  2020 — 2021

Skills

• Market Research
• R Programming
• Ms-Excel
• Ms-Access
• Spss
• Cluster Analysis
• Crm
• Marketing Management
• Sas
• Statistical Data Analysis
• Analytics
• Business Strategy
• Business Development
• Vba
• Sql
• Microsoft Excel
• Research
• R
• Linear Regression
• Access
• Marketing
• Forecasting
• Time Series Analysis
• New Business Development
• Ms Excel Pivot Tables
• Advanced Excel
• SEO
• Business Analysis
• Marketing Strategy
• Team Management
• Segmentation