Data Science with less than a year in ML pipelines, time-series forecasting, 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
August 1, 2024 – June 30, 2026
Govt Brennen College, Thalassery
BSc · Statistics
August 1, 2021 – June 30, 2024
Kochi Traffic Police
Data Science Intern
August 1, 2025 – October 1, 2025
Cochin, Kerala, India
Statistical Analysis on the Impact of COVID-19
June 1, 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 1, 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.
Crash Course on Python
Coursera
June 1, 2026 – Present
Advanced Excel for Data Analysis and Business Applications
JAIN University
June 1, 2026 – Present
SPSS for Data Analysis
JAIN University
June 1, 2026 – Present
Machine Learning Techniques
Coursera
June 1, 2026 – Present
Team Lead, Data Mining & Analytics Intern
UptoSkills
June 1, 2026 – Present
Statistical quality control using AI in perishable food in fishing industry
Unknown
November 1, 2024 – Present
The candidate scored 14 out of 17 points (82%) on the 'Data Scientist — Artificial Intelligence' test, indicating a solid grasp of the subject matter and strong foundational skills in data science and AI.
Strengths
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying data science to diverse real-world problems (COVID-19 trends, electricity demand forecasting, traffic congestion). The internship and project work show an ability to work with different data sources and stakeholders, indicating adaptability. The breadth of skills and project diversity align well with a dynamic data science environment.
Soft Skills & Operational Fit
The candidate's experience in collaborating with the Traffic Commissioner and leading a team during an internship (UptoSkills) suggests good communication and teamwork skills. The psychometric test score of 290/500 indicates average performance in logical reasoning, work attitude, stress handling, and team collaboration, which could be an area for development.
Limitations