Jun 2023 – Oct 2024 · 1 yr 4 mos · Kolkata, West Bengal, India

• Advanced Document Retrieval System Development
• Led the conception and execution of a sophisticated document retrieval system leveraging Azure technologies. Orchestrated a seamless data processing pipeline utilizing Azure Machine Learning Workspace for data extraction and formatting. Implemented embedding and metadata creation with Azure Open AI, enriching document representations. Engineered indexing and semantic search capabilities using Azure Search service and Search Index Client for precise document retrieval. Directed the development of evaluation metrics and citation mechanisms based on RAGAS architecture for systematic assessment and transparency.
• Smart Risk Monitoring:
• Smart Risk Monitoring employs the RAG architecture for risk assessment in communication channels. It integrates the Llama-index for data integration and vector embedding, facilitating the processing of diverse data sources. Using keyword-driven filtering and cosine similarity, it computes risk scores by identifying patterns in communication data. Additionally, GPT-3.5 integration enhances insight generation, aiding proactive risk management.
• Virtual Assistant:
• The Virtual Assistant utilizes Word2Vec for word embedding and Encoder Decoder with LSTM architecture for semantic understanding. It preprocesses client conversations, extracting relevant information for accurate responses. Challenges in handling complex queries are addressed with bidirectional LSTM layers, improving contextual comprehension and response accuracy.
• Application Tracking System (ATS):
• ATS leverages cosine similarities and word embedding to compare job descriptions and resumes, facilitating efficient candidate selection. Deployed in Hugging Face space, it ensures wider accessibility and usability across industries. It generates comprehensive summaries based on key terms and phrases, aiding recruiters in informed decision-making.

Mar 2022 – Jun 2023 · 1 yr 3 mos · Kolkata, West Bengal, India

• Skilled data analyst with expertise in retrieving data from various sources, transforming it into meaningful insights, and delivering data-driven solutions. Experienced in both data analysis and development, working with tools such as Git and JIRA.
• Key contributions include:
• Building store procedures and snapshots in databases
• Debugging code and fixing bugs
• Conducting benchmark and testing on partner's platform
• Simultaneously working on both data analysis and development sections
• Proficient in Python and SQL, dedicated to staying current with the latest technologies and methodologies.

Aug 2021 – Mar 2022 · 7 mos · Pune, Maharashtra, India · On-site

• Data Archival Automation: In this project, the aim was to automate the tedious process of converting data into XML format along with its XML Schema Definition (XSD) during data archival, which was previously done manually. This manual process was time-consuming and prone to errors. To address this, Python scripting was employed to automate the entire process. The script handled Extraction, Transformation, and Loading (ETL) tasks, making the conversion seamless and efficient. Additionally, SQL operations were seamlessly integrated into the script to enhance data handling processes, ensuring smooth execution and accuracy throughout the archival process.

Mar 2021 – Aug 2021 · 5 mos · Kolkata, West Bengal, India · Remote

• Internship focused on fleet management and development of a machine/deep learning model to predict key features.
• Key responsibilities include:
• Monitoring and improving Fuel Management, Driver Management, Route Optimization, and Vehicle Maintenance processes
• Designing and building a machine/deep learning model to predict features of fleet management
• Working on Fuel Management and Route Optimization features to optimize fleet operations
• This internship provided hands-on experience in applying machine/deep learning techniques to real-world problems and contributed to the development of a fleet management application aimed at improving efficiency.

Jan 2021 – Mar 2021 · 2 mos

• This internship mainly focused on different aspects of predictive models like time series, machine learning, and deep learning. It also focused on data pre-processing, data preparations, and model-building techniques like Sklearn, Keras and TensorFlow, etc.
• Uber Data Analysis
• Bitcoin Price Prediction
• Covid 19 Analysis

Jan 2020 – Jun 2020 · 5 mos · Nadia, West Bengal, India

• It was a project of teaching Big data basics to the Master's students of Data Science. I have covered the basic part like the Introduction of Big Data, Hadoop, and Map-reduce. The project was under  Dr. Abhijit Dasgupta and helped us to prepare big data study materials, which is thereby used as a sample book for Vidyasagar Open University.

Sep 2017 – Sep 2019 · 2 yrs · Delhi

• It was a full-time job of sales and service for medical equipment across the whole east India region.
• Some of the main places I used to visit a regular basis for giving services like:
• AIIMS Bhubaneswar (Bhubaneswar)
• Sports Authority of India (Kolkata)
• SSKM (Kolkata)
• Central Institute of Psychiatry (Rachi)
• etc...

May 2016 – Jun 2016 · 1 mo · Bhilai, Chhattisgarh, India

• The internship is to maintain and inspect the cranes, convectors of that particular shop in Bhilai Steel Plant. It was a mechanical project in which we got the experience of real-world scenarios.