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Data Scientist with less than a year in Data Analytics, NLP & Machine Learning
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Assessing your cultural and operational fit
Highly motivated and results-oriented professional with a strong academic background in Electronics and Telecommunication Engineering. Possesses a solid foundation in data analytics, NLP, and machine learning, honed through practical experience as a Research Intern and Data Analyst Intern. Proficient in Python, SQL, Power BI, and Alteryx, with a track record of developing ETL workflows, building interactive dashboards, and extracting thematic insights from complex datasets. Eager to leverage analytical and technical skills to contribute to data-driven decision-making and innovative projects.
MIT Academy of Engineering, Pune
B.Tech. · Electronics and Telecommunication Engineering
August 1, 2022 – June 30, 2026
Great Lakes Institute of Management
Research Intern
February 1, 2026 – Present
India
ProAzure Software Solution
Data Analyst Intern
September 1, 2025 – December 1, 2025
India
Multilingual Healthcare Sentiment Analysis using NLP
June 1, 2025 – December 1, 2025
Developed multilingual healthcare sentiment analysis pipeline across 11 languages using transformer-based NLP models. Performed text preprocessing, normalization, and evaluation for healthcare NLP model optimization. Improved sentiment classification performance by 12% through optimized training, evaluation, and hyper-parameter tuning for research publication.
Pharmaceutical Sales Performance Analysis and BI Reporting
June 1, 2025 – July 1, 2025
Built Executive Summary and Distributor & Customer Analysis reports on 250K+ pharmaceutical sales records using Power BI. Performed data cleaning, EDA, and KPI analysis using Python (Pandas), MySQL, and SQL views. Developed interactive visualizations including KPI cards, geo maps, slicers, channel analysis, and drill-down reports.
Alteryx Designer Core Certification
Alteryx
June 1, 2026 – Present
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Stable Diffusion with LLM Prompt Engineering and CLIP Filtering
IEEE International Conference (ICMNWC 2025)
December 1, 2025 – Present
Stock Price Forecasting using Markov-TCN-BiLSTM Model
IEEE International Conference (ICONAT 2025)
September 1, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a strong inclination towards data science and analytics, aligning well with a 'Data Scientist' target role. The academic projects and internships cover diverse domains like healthcare, pharmaceuticals, and finance, showcasing versatility. The publications in advanced topics like LLM prompt engineering and deep learning for stock price forecasting indicate a proactive and innovative mindset, which would be a good cultural fit for organizations valuing continuous learning and cutting-edge research. The breadth of skills from data cleaning to advanced NLP and deep learning suggests a well-rounded individual capable of contributing to various aspects of a data science team.
Soft Skills & Operational Fit
The candidate's project and internship descriptions indicate a structured approach to problem-solving and a focus on delivering measurable improvements (e.g., 12% improvement in sentiment classification). The academic background and multiple publications suggest a research-oriented mindset and ability to work on complex, novel problems. The diverse range of tools and techniques used across projects implies adaptability and a willingness to learn new technologies. However, without direct interview data, specific soft skills like teamwork, leadership, or communication style cannot be definitively assessed.