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Data Science with 3+ years in Machine Learning, NLP & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am keen to understand the Jig-saw puzzle of machine learning to solve real-world business problems from a different perspective. “The Other Perspective!”. Data Science Specialist with 6+ years of experience in Machine Learning, NLP, Generative AI, and Predictive Analytics. Experienced in building and deploying AI-powered solutions for ticket automation, root cause prediction, intelligent recommendation systems, and financial forecasting. Proficient in Python, Scikit-Learn, PostgreSQL, ChromaDB, LLMs,RAG. Skilled at transforming complex business challenges into scalable data-driven solutions that improve operational efficiency and business outcomes.
Savitribai Phule Pune University
Master in Engineering · E&TC
N/A – June 30, 2022
Amdocs
Data Science Specialist
September 1, 2022 – Present
India
Ticket Routing NLP System
June 27, 2026 – Present
Automate ticket routing using NLP and Machine Learning. Developed NLP-based ticket classification models using FastText and XGBoost. Performed text preprocessing, feature engineering, and data cleansing. Implemented hierarchical classification for business-specific routing. Improved routing accuracy through model tuning and evaluation.
AmAizy / Doxana
June 27, 2026 – Present
In-house LLM assistant for documentation, product Q&A, and Ticket Assist workflows including executable SOPs with SQL orchestrated through an automation platform. Developed a validation framework to verify SQL and Shell (SH) commands within SOP documents. Implemented pre-ingestion quality checks before documents were stored in the vector database. Helped improve the reliability and accuracy of RAG-based document retrieval. Contributed to knowledge quality governance for enterprise LLM applications.
POC - Payment Delay Prediction System
June 27, 2026 – Present
Predict customer payment delays and provide quarter-level business insights. Analyzed 63K+ financial transactions and performed feature engineering. Evaluated predictions using business-focused quarterly metrics.
Q-AI d (Quality AI) – Test Failure Root Cause Prediction System
June 27, 2026 – Present
GenAI platform that recommends root causes and fixes for failed automated tests using historical errors, defects, embedding similarity, and LLM-generated explanations. Built similarity search solutions using ChromaDB and embeddings. Implemented Retrieval-Augmented Generation (RAG) architecture. Integrated LLaMA 3 70B models for root cause and solution generation. Built feedback loops for continuous model improvement, Notification system and tracking system.
Automated Operations Center (AOC)
September 1, 2022 – Present
AOC is an AI-driven ticket automation platform that ingests production tickets, analyzes historical patterns, and automatically triggers remediation workflows or recommendations.
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with practical, business-driven AI solutions, which is a good indicator of cultural fit for a results-oriented environment. The 'Other Activities' section mentions arranging campaigns for plastic waste recycling, indicating a potential interest in social impact, which can be a positive for team dynamics. However, the overall breadth of experience outside of core data science is limited, and the resume does not provide extensive details on team collaboration or leadership in projects, making a deeper cultural fit assessment challenging without interview data.
Soft Skills & Operational Fit
The candidate highlights 'Problem Solver', 'Continuous Learner', 'Adaptable', and 'Collaborative' as core strengths, which are crucial for a senior data science role. The project descriptions indicate an ability to work on complex, multi-faceted problems and contribute to various stages of AI solution development. The focus on improving operational efficiency and business outcomes suggests a strong business-oriented mindset.