Amrita Mukherjee

Amrita Mukherjee +91 079992 # __PROT 0__ ï __PROT 4__ § __PROT 2__ Education National Institute of Technology Agartala B__PROT 6__ in Production EngineeringCGPA: 8__PROT 7__/10 Hindi Higher Secondary School 2022 2024 Class XII (Higher Secondary) Agartala Holy Cross School Agartala 2009 2022 Class X (Secondary School) Agartala Work Experience Independent Project Development Aug 2024 Present AI & Data Science Developer Remote Engineeredend to end data pipelines and conversational AI interfaces using Lang Chain Argopy andmySQL through rigorous self directed application. Masteredadvanced data wrangling statistical analysis and Python frameworks (Pandas Num Py) by independently sourcing and applying modern technical curricula. Synthesizedcomplex scientific data integration workflows into stakeholder ready presentations for the Gamma platform demonstrating strong technical communication. Projects Customer Behavior Analysis Python SQL Power BISource Code Engineered an end to end analytical pipeline usingSQLand Python (Pandas) to extract clean and analyze complex retail datasets. Applied statistical grouping to uncover purchasing patterns and customer segments directly correlating discount impacts with revenue trends. Designed an interactive Power BIdashboard to translate raw data queries into actionable stakeholder ready business insights. Stateful GenAI Chatbot Python Google GenAI SDK Gemini 3__PROT 8__ Flash Source Code Architected a lightweight multi turn conversational interface leveraging Google's latest Gemini 3__PROT 9__ Flashmodel. Implemented robustconversational memoryto maintain deep context across user interactions enabling complex natural follow up queries. Established secure environment configurations usingpython dotenvfor safe API credential handling within a scalable Python architecture. Exploratory Data Analysis (EDA): Sports Analytics Python Pandas Matplotlib Source Code Executed comprehensive Exploratory Data Analysis on a 15 season dataset encompassing∼950 records to evaluate long term probabilistic trends. Leveraged Pandasfor rigorous data cleaning handling missing variables to prepare the dataset for statistical modeling. Visualized critical correlations such as toss decision impact on match outcomes using Matplotlib bridging statistical findings with real world scenarios. Technical Skills Languages: Python SQL Java __PROT 5__ __PROT 1__ Data Science & AI: Pandas Matplotlib Langchain LLM Power BI Jupyter Google GenAI SDK Databases & Cloud: mySQL AWS Redis Tools & Technologies: Docker Git/__PROT 3__ Postman Socket__PROT 10__ python dotenv Algorithmic Competitions Completed the Leet Code SQL 50 Challengeand achieved a 5 Star SQLrating on Hacker Rank demonstrating strong relational database querying skills. Completed the Deloitte Data Analysis Virtual Internship gaining hands on practice with real world data workflows. Earned comprehensive certificates in Data Analyticsand Data Science establishing a strong foundation in data manipulation and analytical principles.