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Data Scientist with 1+ years in Machine Learning, Deep Learning, NLP & Generative AI.
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Assessing your cultural and operational fit
Certified Data Scientist with 2+ years of professional experience as a Junior Data Scientist and Machine Learning Engineer in NBFC. Skilled in machine learning, deep learning, NLP, computer vision, and generative AI with expertise in the end-to-end AI/ML lifecycle from data preprocessing and feature engineering to model deployment. Experienced in predictive analytics, statistical modeling, and MLOps with a strong focus on explainable AI (XAI), optimization, and cloud-based deployment (Azure, Streamlit, Databricks). Passionate about leveraging data-driven insights to improve decision-making and business outcomes.
Kakinada Institute of Engineering and Technology
B.Tech · Data Science
January 1, 2020 – January 1, 2024
IKF Finance Limited
Data analyst
June 1, 2025 – Present
India
Trysol Global Services
Junior Data Scientist
July 1, 2024 – May 1, 2025
India
Shrimp Segmentation and Counting
June 1, 2026 – June 1, 2026
Developed segmentation pipeline for shrimp detection and counting using YOLOv8 on LabelMe datasets; achieved 92% mAP and deployed real-time inference via Streamlit.
View ProjectCar Sales Prediction
June 1, 2026 – June 1, 2026
Implemented Linear, KNN, SVM, Decision Trees, Ensembles, and ANN on Cars24 dataset. Applied feature engineering, cross-validation, and hyperparameter tuning, achieving R² = 0.85 for pricing insights and sales forecasting.
View ProjectMarket Intelligence & VAHAN Data Analytics
June 1, 2026 – June 1, 2026
Extracted multi-source datasets from FASTag, GST, IIP, Petroleum, and VAHAN portals (including PDF ingestion using pdfplumber), performed data cleaning and transformation using Pandas, and built interactive Power BI dashboards to deliver actionable market and mobility insights for strategic decision-making.
Kaggle Competitions - Top 5 Percentile
Kaggle
June 1, 2026 – Present
NASSCOM Certified Full-Stack Data Scientist
NASSCOM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from computer vision (Shrimp Segmentation) to predictive analytics (Car Sales, DPD risk) and market intelligence, indicates a broad interest and adaptability, which is a positive for cultural fit. The experience in an NBFC (IKF Finance Limited) and a services company (Trysol Global Services) suggests exposure to different organizational contexts. The certifications (NASSCOM, Kaggle Top 5 Percentile) demonstrate a drive for continuous learning and excellence. The target role of 'Data Scientist' aligns well with the candidate's stated skills and experience, particularly in machine learning, deep learning, and data analytics. The candidate's profile suggests a strong alignment with a data-driven culture that values innovation and practical application of AI/ML.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a results-oriented approach, focusing on improving metrics (e.g., early-risk detection by 25%, minority class recall from 0.32 to 0.61). The use of XAI techniques suggests an understanding of the importance of transparent insights for stakeholders, indicating good communication and collaboration potential. The diverse project portfolio demonstrates adaptability and a proactive learning attitude. However, without direct interview data, assessing specific soft skills like teamwork, problem-solving under pressure, or leadership is limited.