Yogesh Sharma

Yogesh Sharma

B.Sc. Data Science Student & Data Analyst

Hyderabad


About

Data Science undergraduate with hands-on experience in data analysis, statistical modeling, and database management. Skilled in Python, SQL, and Power BI, with practical project experience in exploratory data analysis and business intelligence solutions. Certified Microsoft Power BI Data Analyst (PL-300), and currently pursuing the Google Advanced Data Analytics Professional Certificate

Skills
Statistics & Modeling
Git & GitHub
Business Intelligence
Data Wrangling & Cleaning
Data Analysis & EDA
Microsoft Power BI & DAX
SQL (PostgreSQL
MySQL)
Python (Pandas
NumPy)
Machine Learning (Scikit-learn)
Experience

Data Analyst Intern

Unified mentor

Sept 2026 to Present
  • Performed data analysis and generated insights using Python and SQL.
  • Built interactive dashboards for visualizing metrics and key performance indicators.
  • Cleaned, preprocessed, and transformed datasets to ensure data quality.
Projects

FraudGuard Analytics Engine

Developed an offline-first Android security application powered by an Edge AI model (TFLite) and a national cybercrime threat intelligence database. Features include real-time SMS fraud parsing, short-URL scanning, app cloning & screen-sharing detection, biometric MFA, an AES-256 encrypted vault, and a live security score dashboard for proactive financial fraud prevention.

Python
FastAPI
SQLite
PostgreSQL
Android Telecom

Enterprise SaaS Customer Churn & Dynamic Revenue Risk Engine

Built a predictive analytics and revenue risk pipeline using PostgreSQL Window CTEs and an XGBoost classification model (82.4% precision) to forecast customer churn velocity. Integrated an executive Power BI risk matrix with dynamic DAX parameters for automated retention workflows.

PostgreSQL
Python
XGBoost
Power BI
DAX

Audiometric Telemetry & Industrial Bearing Downtime Diagnosis

Constructed an edge telemetry ingest pipeline processing live acoustic and vibration sensor streams via an MQTT broker. Applied Fast Fourier Transform (FFT) decoupling to isolate microscopic resonance peaks (>75 dB), forecasting mechanical bearing failure 48 hours prior and integrating automated ISO 10816-aligned dispatch triggers into interactive Power BI heatmaps.

Python
SciPy
NumPy
MQTT
Power BI
Signal Processing
Education

BSc-Data Science

Sai Sudhir Degree and Pg College

Aug 2024 to Apr 2027
Certifications

Data Analytics Job Simulation

Deloitte Australia (via Forage)

Sept 2026

Data Science Job Simulation

BCG X (via Forage)

Sept 2026
Yogesh Sharma · DevFest Hyderabad 2026