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Data Science with less than a year in data analysis & machine learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data science postgraduate with strong skills in Python, SQL, and Excel for data analysis, data processing, and automation. Experienced in handling structured datasets, writing optimized SQL queries, and building dashboards using Power BI. Proficient in exploratory data analysis, data visualization, and developing machine learning models for predictive insights. Familiar with data pipelines and end-to-end data workflows. Seeking opportunities in Data Analyst, Data Engineer, Junior data scientist or AI/ML Roles.
COEP Technological University
M.Tech · Data Science
August 1, 2024 – June 30, 2026
MVP KBTCOE
B.E. · Computer Engineering
August 1, 2020 – June 30, 2024
Humming Byte Technologies Pvt. Ltd.
Data Analytics Intern
July 1, 2024 – December 1, 2024
Nashik, Maharashtra, India
Sachitech
AI/ML Intern
January 1, 2023 – April 1, 2023
Nashik, Maharashtra, India
Hybrid Framework for Multi-Chronic Disease Prediction using Explainable AI
October 1, 2025 – October 1, 2025
Developed a predictive system for early multi-disease detection using healthcare data. Implemented ANN + XGBoost with Python and applied SHAP, LIME for explainability. Built end-to-end pipeline (preprocessing, training, evaluation). Research paper based on this work published in IEEE.
Detection of Criminal Activities through CCTV Using Machine Learning Algorithms
March 1, 2024 – March 1, 2024
Built a system to detect abnormal activities from live CCTV footage for real-time safety monitoring. Processed 1,500+ video frames using Python, OpenCV, YOLO, and CNN for activity recognition. Improved detection accuracy by 28% through preprocessing, feature extraction, and optimization.
Python Programming
Coding Seekho by Vikas Singh
November 1, 2024 – Present
Data Analytics Internship
Humming Byte Technologies Pvt. Ltd.
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge AI/ML applications (CCTV activity detection, multi-chronic disease prediction with XAI). The internships in Data Analytics and AI/ML show a practical, application-oriented mindset. The breadth of tools and techniques used (Python, SQL, Excel, Power BI, various ML models, XAI methods) indicates adaptability and a willingness to learn diverse technologies. The target role of 'Data Science' aligns well with the candidate's educational background and project experience, suggesting a good cultural fit for a data-driven organization. The academic nature of the projects, however, means real-world, large-scale system experience is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and deliver measurable improvements (e.g., 'Improved detection accuracy by 28%'). The internship experience shows practical application of skills in a business context, including automation and reporting. The publication in IEEE suggests research and problem-solving capabilities. However, without specific psychometric or English test scores, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.