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Data Analyst with less than a year in Python, SQL, and PySpark for data processing and analytics.
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 Analyst with practical experience in data processing, transformation, and analytics using Python, SQL, and PySpark. Worked as a Data Engineer Trainee at Feathersoft Info Solutions Pvt. Ltd., contributing to data ingestion, cleaning, and transformation using SQL and Spark SQL. Experienced in extracting web data using BeautifulSoup, organizing structured datasets in MySQL, and preparing analytics-ready data to support reporting, analysis, and data-driven business decisions.
University of Calicut
Bachelor of Science · Mathematics
January 1, 2021 – January 1, 2024
Higher Secondary Board of Kerala
BIOLOGY SCIENCE
January 1, 2019 – January 1, 2021
Board of Kerala
SSLC
January 1, 2018 – January 1, 2019
Feathersoft Info Solutions Pvt. Ltd.
Data Engineer Trainee
September 1, 2025 – December 1, 2025
Cochin, Kerala, India
Marketing Campaign ETL Pipeline (PySpark)
February 1, 2026 – February 1, 2026
Tech Stack: Python, PySpark, Apache Spark, Spark SQL, Parquet Built end-to-end ETL pipeline using Medallion Architecture (Bronze-Silver-Gold) Converted raw CSV data to Parquet format for optimized storage Implemented incremental data loading to process new records efficiently Generated analytical metrics using Spark SQL Designed scalable pipelines for big data workloads
View ProjectCar Price Prediction (Machine Learning)
May 1, 2025 – May 1, 2025
Built regression-based ML models for price prediction Performed feature engineering and EDA Evaluated model performance using standard metrics
View ProjectStock Price Change Analysis (US Stocks)
February 1, 2025 – February 1, 2025
Cleaned and transformed stock datasets Built interactive Power BI dashboards Performed time-series trend analysis and forecasting
View ProjectTata Stock Market Analysis
September 1, 2024 – September 1, 2024
Performed pre- and post-event stock price analysis Built Power BI dashboards to visualize price trends and volatility Delivered insights on market sentiment
View ProjectSQL Dashboard – Kerala Lok Sabha Election 2024
August 1, 2024 – August 1, 2024
Designed relational schema and optimized SQL queries Built election result analysis dashboards using SQL Modeled constituency, alliance, and candidate datasets
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a diverse range of interests, from marketing campaigns and car price prediction to stock market analysis and election data. This breadth indicates adaptability and a willingness to apply data skills across various domains. The focus on personal projects and a trainee role suggests a strong drive for continuous learning and practical application, which aligns with a culture that values initiative and skill development. However, the lack of team-based projects or explicit collaboration mentions limits the assessment of cultural fit in a collaborative environment.
Soft Skills & Operational Fit
The candidate lists analytical problem-solving, attention to detail, clear technical communication, time management, and self-learning as soft skills. These align well with the demands of a Data Analyst role, indicating a proactive and detail-oriented approach to data challenges. The internship experience further supports operational fit by demonstrating practical application of these skills in a professional setting.