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Alok
Kondebettu

|

3+
Projects
92%
ML Accuracy
8.6
CGPA
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Who I Am

About Me

I'm Alok Kondebettu, a final-year Computer Science student from Bengaluru, India, passionate about turning raw data into meaningful insights. I specialize in Data Analytics, Machine Learning, and Business Intelligence.

With hands-on experience in telecom, finance, and healthcare domains, I've worked with datasets at scale — from 50K+ financial transactions to 10K+ medical images. I enjoy building end-to-end ML pipelines and visual dashboards that tell compelling stories.

I'm currently seeking entry-level opportunities in Data Analytics, Business Intelligence, or Data Science where I can contribute impact from day one.

GitHub Profile → LinkedIn →
  • Deloitte — Data Analytics Job Simulation Program
  • Oracle — OCI 2025 Certified Data Science Professional
  • Tata — GenAI Powered Data Analytics Certification
Capabilities

Technical Skills

Programming
Python90%
SQL85%
C70%
Machine Learning
Scikit-learn85%
TensorFlow / Keras80%
Feature Engineering82%
Analytics & BI
Data Cleaning / EDA92%
Statistical Analysis80%
Data Visualization87%
Tools & Platforms
Excel Tableau Jupyter VS Code PyCharm Google Colab Pandas NumPy Seaborn Matplotlib Plotly Flask Streamlit OpenCV
Career

Work Experience

Amdox Technologies
Data Science & Analytics Intern
Nov 2025 — Feb 2026 · Remote
  • Analyzed telecom datasets using SQL and Python, focusing on churn prediction and customer behavior modeling.
  • Performed data cleaning and feature engineering pipelines to improve predictive analysis accuracy.
  • Built interactive dashboards to monitor KPIs including churn rate, revenue trends, and retention insights.
  • Automated reporting workflows and strengthened data quality check processes across pipelines.
Work Showcase

Featured Projects

01
92% acc.
Healthcare · Deep Learning
Skin Cancer Detection using ML
CNN-based diagnostic model trained on 10,000+ dermoscopy images achieving 92% accuracy. Deployed as a web app using Flask for real-time inference and clinical decision support.
TensorFlow Keras OpenCV Pandas Scikit-learn Flask
02
Finance · Time Series
Cryptocurrency Price Forecasting
Multi-model forecasting suite for Bitcoin price prediction using ARIMA, SARIMA, and LSTM architectures. Conducted volatility analysis and trend decomposition on historical market data.
Python LSTM ARIMA Matplotlib Plotly Seaborn
03
FinTech · Anomaly Detection
Real-Time Financial Fraud Detection
Fraud detection system trained on 50,000+ transactions using XGBoost and Random Forest ensembles. Features an interactive Streamlit dashboard for real-time fraud velocity and risk scoring.
Python XGBoost Random Forest TensorFlow Streamlit
04
Telecom · Predictive Analytics
Telecom Customer Churn Analysis
End-to-end churn prediction pipeline applied to telecom datasets. Feature engineering on customer behavior metrics, predictive modeling, and KPI dashboards tracking churn rate and revenue impact.
Python SQL Pandas Scikit-learn Tableau
Academic Background

Education & Learning

B.E. Computer Science & Engineering
VSM's Somashekhar R Kothiwale Institute of Technology
2022 — 2026 · Bengaluru, India
CGPA: 8.6 / 10
Science — PCMB
C.L.E PU College, Chikodi
2020 — 2022
Physics · Chemistry · Maths · Biology
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My Resume

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Let's build together

I'm actively looking for entry-level opportunities in Data Analytics, Business Intelligence, or Data Science. Open to full-time roles, internships, and collaborations.