Data Science with less than a year in ML pipelines and spatial analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science postgraduate with a background in Statistics. Experienced in ML pipelines, time-series forecasting, and spatial analysis through multiple projects. Proficient in Python, R, and SQL, and a focus on deriving actionable insights from complex data.
Jain Deemed-to-be University
MSc Data Science and Analytics · Data Science and Analytics
August 1, 2024 – June 30, 2026
Govt Brennen College, Thalassery
BSc Statistics · Statistics
August 1, 2021 – June 30, 2024
Kochi Traffic Police
Data Science Intern
August 1, 2025 – October 31, 2025
Cochin, Kerala, India
Statistical Analysis on the Impact of COVID-19
June 19, 2026 – Present
• Conducted statistical analysis of COVID-19 trends, including infection rates, mortality, recovery patterns, and vaccination coverage across regions. • Used Python, R, and Excel for data collection, cleaning, and visualization. • Applied regression, hypothesis testing, and time series forecasting to identify patterns and predict trends.
Machine Learning Project – Climate-Resilient Power Demand Forecasting for KSEB (Kannur District)
June 19, 2026 – Present
• Built a data pipeline integrating KSEB electricity consumption data with NASA POWER climate variables (temperature, humidity, wind speed, solar radiation). • Developed demand forecasting models using Random Forest and Prophet, achieving ~1.15% MAPE for monthly electricity demand prediction. • Engineered climate-based features and designed the Electricity Climate Sensitivity Index (ECSI) to measure demand elasticity to climatic factors. • Built Power BI dashboards to visualize electricity demand trends, climate sensitivity, and forecasting insights. • Simulated solar and wind renewable substitution scenarios and performed climate scenario analysis aligned with IPCC pathways.
Team Lead, Data Mining & Analytics Intern
UptoSkills
June 1, 2026 – Present
Advanced Excel for Data Analysis and Business Applications
JAIN University
June 1, 2026 – Present
Machine Learning Techniques
Coursera
June 1, 2026 – Present
Crash Course on Python
Coursera
June 1, 2026 – Present
SPSS for Data Analysis
JAIN University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate an interest in applying data science to real-world problems, such as climate-resilient forecasting and traffic congestion analysis. This indicates a proactive and problem-solving mindset. The diversity of projects (climate, public health, traffic) suggests adaptability and a broad interest in data applications. However, the experience is primarily academic and internship-based, which might require adjustment to a corporate environment. The target role is Data Science, which aligns well with the candidate's educational background and project experience.
Soft Skills & Operational Fit
The candidate's resume indicates experience in team leadership during an internship, suggesting potential for collaboration and communication. The internship with Kochi Traffic Police also highlights an ability to work under data and infrastructure constraints, implying problem-solving and adaptability. However, without specific assessment data on soft skills, a comprehensive evaluation of operational fit is limited.