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Data Science with 1+ years in AI & Data Analytics
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Assessing your cultural and operational fit
Business Analytics professional with an Integrated M.Tech from VIT Chennai (CGPA: 9.00) and hands-on experience in data analysis, AI engineering, and international client delivery across APAC. Consistently ranked in the top 10 across batch with consecutive Meritorious Awards. Combines strong analytical and technical skills - from building RAG-based AI pipelines to leading cross-functional delivery teams - with the business acumen to turn data into decisions. Actively targeting Data Science, Data Analytics, and Business Analysis roles.
Vellore Institute of Technology, Chennai
Integrated M.Tech – CSE (Business Analytics) · CSE (Business Analytics)
August 1, 2020 – June 30, 2025
Narayana Junior College, Hyderabad
Intermediate - PCM (MPC) · PCM
June 1, 2018 – May 31, 2020
St. Theresa's High School, Hyderabad
ICSE - Class X
June 1, 2018 – May 31, 2018
Cognizant
Multicloud Engineer
November 1, 2025 – Present
India
Envision Beyond
Associate Business Analyst - Team Lead
April 1, 2025 – November 1, 2025
India
AI Document Q&A Chatbot - RAG Pipeline (LangChain + FAISS + TinyLlama)
January 1, 2026 – January 1, 2026
Built a complete Retrieval-Augmented Generation (RAG) pipeline from scratch: PDF ingestion using PyMuPDF, recursive text chunking (500-character windows, 50-character overlap), semantic embedding generation via HuggingFace all-MiniLM-L6-v2 sentence transformers, and FAISS vector store indexing for efficient top-3 similarity search. Integrated TinyLlama-1.1B as a free local LLM constructed a custom prompt template injecting retrieved document chunks as context, enabling accurate answers grounded in the source document and reducing hallucination; implemented source page attribution for full transparency. Built and deployed a Streamlit chat UI where users can upload any PDF, ask natural language questions in a chat interface, and view both the generated answer and the exact source chunks retrieved making the system fully explainable.
Deepfake Detection System (ViT + ResNeXt + LSTM)
January 1, 2025 – January 1, 2025
Designed a hybrid deep learning architecture combining Vision Transformer (ViT) for spatial frame analysis, ResNeXt for deep feature extraction, and LSTM for temporal sequence modeling - enabling the model to detect subtle manipulation artifacts across video frames. Applied feature engineering and cross-validation techniques during model training; the multi-model ensemble approach improved detection robustness over single-architecture baselines.
Speech-Based Music Recommendation System (LSTM + Spotify API)
January 1, 2024 – January 1, 2024
Built an end-to-end emotion recognition pipeline - extracted audio features (MFCCs, pitch, energy) using Librosa, trained an LSTM classifier to predict user emotional state, and integrated Spotify API to surface real-time personalized playlists matching the detected emotion. Deployed the full pipeline as an interactive Gradio web app, enabling live audio input, emotion prediction, and instant music recommendations in a single interface.
AI-Based Automatic Food Dispensing System - PupFeed (IoT + CV)
January 1, 2023 – January 1, 2023
Designed an AI-driven IoT system that used OpenCV-based computer vision to detect the presence of a dog and trigger an automated feeding mechanism via ESP32 microcontroller eliminating the need for manual intervention. Programmed the hardware-software interface in Arduino/C++ and integrated real-time image processing to ensure reliable detection under varying lighting conditions.
Finlatics Business Analyst Experience Program - Excel, Power BI, Business Analysis frameworks
Finlatics
June 1, 2026 – Present
NPTEL - E-Business (Government of India certified online course)
NPTEL
June 1, 2026 – Present
Meritorious Award - Ranked 6th & 9th across batch
Unknown
January 1, 2021 – Present
The candidate scored 94% on the Data Scientist — Artificial Intelligence test, indicating a very strong command of the subject matter and related skills.
Strengths
Cultural Fit Analysis
The candidate's academic background, diverse project portfolio (IoT, CV, NLP, RAG), and experience in both technical training (Cognizant) and business analysis leadership (Envision Beyond) suggest adaptability and a broad skill set. The consistent academic achievement (Meritorious Awards, high CGPA) indicates a strong work ethic and commitment to excellence. The blend of technical depth with business acumen aligns well with roles requiring both analytical rigor and practical impact, fostering a collaborative and results-oriented environment.
Soft Skills & Operational Fit
The candidate's experience as an 'Associate Business Analyst - Team Lead' highlights strong leadership, project management, and client delivery skills. The ability to lead cross-functional teams, conduct requirements gathering, and ensure regulatory compliance indicates excellent communication, problem-solving, and stakeholder management capabilities. The academic projects also demonstrate initiative, independent problem-solving, and a drive for practical application of technical knowledge.
Limitations
The candidate scored 94% on the Data Engineer — Data Platforms test, demonstrating a robust understanding of data engineering principles and practices.
Strengths
Limitations