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Data Analyst with 1+ years in Python-based Data Analytics & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Automation Analyst with 1.4+ years of experience in Python-based data analytics, automation, and applied machine learning. Strong background in exploratory data analysis, predictive modeling fundamentals, and API-based integrations. Experienced in translating business and operational data into actionable insights using Python, SQL, and dashboards, with working knowledge of GitHub, GenAI APIs (OpenAI / Hugging Face – basics), and workflow automation concepts. Actively contributing to data-driven solutions in a production environment.
Visvesvaraya National Institute of Technology, Nagpur
B.Tech · Electrical & Electronics Engineering
August 1, 2021 – June 30, 2025
Sayatrabai Maske Science Jr. College
Class XII · MSBSHSE
June 1, 2020 – May 31, 2021
Navjeevan English Convent School, Sakoli
Class X · CBSE
June 1, 2018 – May 31, 2019
EKA Mobility
Lead Engineer - Business & Data Analytics
January 1, 2025 – Present
Pune, Maharashtra, India
EKA Mobility
Data Analyst EV Telemetry Analytics
January 1, 2025 – June 1, 2025
Pune, Maharashtra, India
Accenture
Data Analyst Intern
May 1, 2024 – July 1, 2024
Nagpur, Maharashtra, India
Condition Monitoring and Protection of EV Battery Packs (Final Year Project)
January 1, 2024 – January 1, 2025
Monitored EV battery health and safety parameters using BMS diagnostic data. Developed logic for fault detection and protection against thermal safety risks. Research work resulted in 2 IEEE papers and 1 international conference publication.
EV Battery Telemetry Analytics Platform
January 1, 2024 – June 1, 2025
Tools: Python, SQL, Power BI, Machine Learning. Analyzed voltage, current, and temperature datasets for identifying battery fault patterns. Applied basic ML models (Regression, Decision Trees, Neural Networks) for fault prediction. Evaluated model outputs to support early-warning analytics design.
Published international journal paper on EV battery fault detection using machine learning
Unknown
June 1, 2026 – Present
Presented research work at IIT Bombay Green EV Summit Conference
IIT Bombay Green EV Summit Conference
June 1, 2026 – Present
Secured AIR 16,123 in JEE Main Examination
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and professional experience are highly aligned with the target role of Data Analyst, particularly within the EV domain. Their involvement in academic research and publications, along with leadership roles in technical events, indicates a proactive and growth-oriented mindset. The breadth of skills, including basic GenAI and frontend/backend concepts, suggests a willingness to explore and adapt to new technologies. The focus on practical, data-driven solutions aligns well with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work on EV battery fault detection and anomaly analysis. Their experience in leading business analytics initiatives and coordinating technical events suggests good organizational and leadership potential. Collaboration with stakeholders indicates an ability to work effectively in a team and translate business needs into technical solutions. The publications highlight a proactive and research-oriented mindset.