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Associate Data Analyst with 3+ years in machine learning and predictive modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in Python (pandas, numpy, scikit-learn), SQL, and machine learning. Seeking a Data Analyst role where I can apply data-driven problem solving, predictive modelling, and visualization skills to generate actionable business insights.
Anna University
Bachelor of Engineering · Computer Science
August 1, 2020 – June 30, 2024
Sairam Vidyalaya
12th Standard · Computer Science
June 1, 2019 – May 31, 2020
Sairam Vidyalaya
10th Standard
June 1, 2017 – May 31, 2018
Bitcot Technology
Software Developer
October 1, 2024 – May 31, 2025
Chennai, Tamil Nadu, India
Young Scientist
Science Coordinator
August 1, 2023 – January 31, 2024
Chennai, Tamil Nadu, India
Indica Life Sciences
Consultant Intern
January 1, 2021 – March 31, 2024
Chennai, Tamil Nadu, India
Electricity Consumption Prediction
June 22, 2026 – Present
Final-year project predicting electricity consumption using 3 key variables (weather, population, and historical usage data) for Chennai city. Performed EDA and data cleaning on multi-year datasets; built and evaluated ML models using scikit-learn, visualized trends with matplotlib and seaborn. Developed a robust predictive model demonstrating practical application of statistical analysis and machine learning to a real-world energy problem.
Cultural Fit Analysis
The candidate's project diversity, ranging from academic predictive modeling to an internship applying ML for sales, indicates a proactive and versatile approach to learning and application. The 'Software Developer' role, while not directly data analysis, shows adaptability and exposure to a different technical stack (React.js, REST APIs, Agile), which can be beneficial for understanding data integration challenges. The 'Science Coordinator' role suggests an interest in education and communication. The overall profile aligns with a culture that values continuous learning, practical application of skills, and cross-functional engagement, which is suitable for an Associate Data Analyst role.
Soft Skills & Operational Fit
The candidate's resume highlights 'Communication', 'Team Collaboration', and 'Agile Methodology' as soft skills. Experience as a 'Science Coordinator' and participation in 'daily stand-ups, sprint planning, and code reviews in an Agile environment' suggest practical application of these skills. The ability to communicate complex scientific concepts and integrate ML insights with stakeholders indicates good operational fit for roles requiring cross-functional collaboration and clear reporting.