KALLAGUNTA HARSHA VARDHAN REDDY
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML Engineer with less than a year in Python, SQL, data analysis, and machine learning.
MCA graduate with hands-on experience in Python, SQL, data analysis, and machine learning. Skilled in end-to-end data workflows - EDA, ETL processes, statistical analysis, dashboard creation, and ML model development with a strong ability to derive actionable insights and deploy predictive solutions. Seeking an entry-level Data Analyst or ML Engineer role to drive data-driven decision-making.
Osmania University, Hyderabad
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Osmania University, Hyderabad
Bachelor of Computer Applications (BCA)
August 1, 2020 – June 30, 2023
Sri Chaitanya Junior College
Intermediate (MPC)
June 1, 2018 – May 31, 2020
Airline Passenger Satisfaction Prediction
January 1, 2023 – June 1, 2026
• Built an end-to-end ML classification pipeline on 100K+ records - including ETL, data cleaning, Label/One-Hot Encoding, and EDA - then trained Logistic Regression & Random Forest classifiers achieving high F1-score. • Deployed an interactive Streamlit dashboard (web app) using model.pkl and scaler.pkl hosted on Streamlit Cloud; maintained full codebase with version control on GitHub.
View ProjectEmployee Management System
January 1, 2023 – June 1, 2026
• Designed a normalized relational database schema for employee records, departments, and payroll; wrote complex SQL queries (JOINs, subqueries, window functions, stored procedures) for business reporting and dashboard-ready data. • Implemented triggers for data validation, referential integrity enforcement, and indexing strategies to optimize query performance on large datasets.
Human Disease Prediction Based on Symptoms
January 1, 2023 – June 1, 2026
• Developed a multi-class classification model (Decision Tree, Random Forest, Naive Bayes) to predict diseases from patient-reported symptoms; handled class imbalance and engineered relevant features achieving strong cross-validation accuracy. • Evaluated models via cross-validation and confusion matrix analysis; visualized symptom-disease correlations and feature importance charts for interpretability.
Python Full Stack Development
Unknown
June 1, 2026 – Present
Data Science
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical skills relevant to data science and machine learning, including data engineering, model development, and deployment. The projects are diverse enough to show adaptability across different problem domains (passenger satisfaction, employee management, disease prediction). The target role of ML Engineer aligns well with the candidate's project experience, particularly the end-to-end ML pipeline and model deployment aspects. However, the lack of professional experience and a low psychometric test score (0, indicating no data) means there's insufficient information to fully assess cultural fit beyond project alignment and skill breadth.
Soft Skills & Operational Fit
The candidate lists several soft skills such as Analytical Thinking, Problem Solving, Attention to Detail, Communication, Team Collaboration, Time Management, Continuous Learning, and Adaptability. While these are positive attributes, there is no direct assessment data to validate their proficiency in these areas. The psychometric test score is 0, indicating no data for logical reasoning, work attitude, stress handling, or team collaboration.