Summary
Overview
Work History
Education
Skills
Projects
Certification
Timeline
Generic

Mary Jeeva E.J

Data Scientist
Kochi

Summary

Data Science professional with 1.5+ years of experience in Data Analytics, Machine Learning, and NLP. Skilled in Python (scikit-learn, pandas, NumPy), SQL, Power BI, and Tableau with hands-on expertise in EDA, feature engineering, statistical modeling, and predictive analytics. Experienced in delivering POCs and end-to-end ML solutions, including HR analytics platforms (sentiment analysis, employee shortlisting, attrition prediction). Strong foundation in regression, classification, clustering and deep learning. Knowledge of cloud-based deployments.

Overview

2
2
years of professional experience
2
2
Certifications

Work History

Data science with Gen AI Intern

iDatalytics Pvt. Ltd.
07.2024 - 10.2024
  • Led a team of 11 interns to build an HR analytics platform integrating Sentiment Analysis, Candidate Shortlisting, and Attrition Prediction into a unified Flask web app.
  • Designed and implemented ML models (Logistic Regression, Random Forest, XGBoost) and NLP methods (TF-IDF, Word2Vec, cosine similarity), improving accuracy by 12–15% over baselines.
  • Developed and deployed POCs for HR decision-making, enabling automated insights and reducing manual screening time by 50%.
  • Strengthened expertise in deep learning, NLP, CV, and Generative AI.

Data Analyst

Geosense Systems and Technologies
03.2023 - 03.2024
  • Processed and analyzed 100k+ daily records from SQL Server using MySQL queries, ensuring 99% data accuracy.
  • Generated and automated daily, monthly, and yearly analytical reports using Excel, Power BI, Tableau, and Seaborn, improving reporting efficiency by 30%.
  • Applied statistical techniques to detect patterns and anomalies in IoT-based gas sensor data, enabling early identification of critical hotspots.
  • Contributed to modernizing reporting by converting static reports into interactive dashboards.

Data Science Trainee

Spectrum Softtech Solutions pvt.ltd
08.2022 - 12.2022
  • Completed intensive training in Python, SQL, statistics, EDA, and ML.
  • Built a Diabetes Prediction ML POC using classification models, achieving 88% accuracy through feature engineering and hyperparameter tuning.
  • Developed interactive dashboards in Power BI, Tableau, and Google Data Studio for visualizing health data.

Education

Bachelor of Technology -

Mangalam College of Engineering
Ettumanoor, Kerala
12.2020

Skills

  • Core Programming & Tools: Python, Jupyter Notebook, VS Code / PyCharm / Google Colab, Git & GitHub, Flask

  • Data Analysis & Visualization: Pandas, NumPy, SciPy, Matplotlib, Seaborn, Power BI, Tableau, Google Data Studio, Excel

  • Databases & Cloud: MySQL, MongoDB, AWS (basic usage)

  • Machine Learning & AI: Data Preprocessing, EDA, Feature Engineering, Machine Learning, Deep Learning, NLP (TF-IDF, Cosine Similarity, Text Analysis), Generative AI (LLMs, Prompt Engineering), Computer Vision (OpenCV, Image Scraping)

  • Other Skills: Advanced Statistics, Linear Algebra, MS Word, PowerPoint

Projects

  • Employee Sentiment Analysis: Built NLP-based sentiment prediction model (Word2Vec, Logistic Regression) with 90% accuracy, deployed via Flask for HR feedback monitoring.
  • Project-Based Shortlisting: Developed candidate matching system using cosine similarity, BM25, Word2Vec, reducing manual shortlisting time by 50%.
  • Employee Attrition Prediction: Designed ML models (Logistic Regression, Random Forest, XGBoost) to predict attrition, improving accuracy by 15% over baseline.

Certification

Full Stack Data Science Masters Program, iNeuron.ai

Timeline

Full Stack Data Science Masters Program, iNeuron.ai

09-2024

Data science with Gen AI Intern

iDatalytics Pvt. Ltd.
07.2024 - 10.2024

Data Analyst

Geosense Systems and Technologies
03.2023 - 03.2024

Data Science Trainee

Spectrum Softtech Solutions pvt.ltd
08.2022 - 12.2022

Python Programming, Spectrum Softtech Solutions pvt.ltd.

07-2019

Bachelor of Technology -

Mangalam College of Engineering

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