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AI Engineer with 3+ years in Data Science & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven Data Scientist and AI/ML professional with hands-on experience delivering end-to-end analytics, machine learning, and NLP solutions in corporate and research environments. Strong foundation in Python, statistics, SQL, machine learning, transformer-based NLP, cloud deployment, and business intelligence. Proven ability to translate complex datasets into predictive insights, early-warning systems, and decision-support dashboards aligned with business objectives.
Gilbert Research Center
Certificate program · Data Science and Artificial Intelligence
November 1, 2023 – April 1, 2024
Sant Gadge Baba Amravati University (SGBAU)
M.Sc · Statistics
June 1, 2018 – November 1, 2020
eClerx Services Pvt. Ltd.
Data analyst
December 1, 2024 – February 1, 2025
Pune, Maharashtra, India
Gilbert Research Center
Machine Learning Engineer Intern
October 1, 2019 – May 1, 2022
Pune, Maharashtra, India
Project Health Early Warning System (PoC) - Transformer-Based Sentiment Analysis for Client Escalation Detection
November 1, 2023 – April 1, 2024
Developed a predictive maintenance solution using XGBoost, Random Forest, and HistGradientBoosting on industrial time-series sensor data. Performed EDA and feature engineering to identify critical failure patterns, achieving ~96% model accuracy and enabling a ~10% reduction in unplanned downtime. Delivered dashboard-driven insights and predictive alerts to support proactive maintenance planning and operational decision-making.
Optimization of Machine Downtime - MaintAIN
November 1, 2023 – April 1, 2024
Built an end-to-end NLP-driven Early Warning System using emails and meeting transcripts to monitor project health and detect client escalation risks. Implemented transformer-based sentiment analysis with Hugging Face Transformers, applied RAG for contextual insights, and triggered automated alerts based on sentiment risk thresholds. Deployed the solution on AWS and delivered Power BI dashboards to visualize escalation trends and support proactive decision-making.
Data Analytics
June 1, 2026 – Present
Introduction to Python
Unknown
June 1, 2026 – Present
AI Engineering
IBM
June 1, 2026 – Present
Data Science
IBM
June 1, 2026 – Present
Power BI Data Analyst
Microsoft
June 1, 2026 – Present
Certificate Program on Data Science
Unknown
June 1, 2026 – Present
Machine Learning
IBM
June 1, 2026 – Present
Python Programming
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including predictive maintenance and NLP-driven early warning systems, shows adaptability and a broad interest in applying AI/ML to different domains. Their educational background in Statistics combined with certifications in Data Science and AI Engineering indicates a proactive approach to skill development. The roles held, from intern to data analyst, show a progression and a willingness to learn and contribute across different stages of the data science lifecycle. This breadth of experience and continuous learning aligns well with a dynamic, innovation-focused culture.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, strategic thinking, and cross-functional collaboration skills, which are essential for an AI Engineer role. Their experience in stakeholder management and delivering dashboard-driven insights suggests good operational fit and ability to communicate technical results to business users. The project descriptions indicate an ability to work on complex, real-world problems.