[░░░░░░░░░░] 0%

// PROFILE INITIATED

VENKATESH
JOSHI

DATA SCIENTIST

Building intelligent, data-driven systems. Translating structural chaos into mathematical precision and actionable insight.

View My Work Get in Touch
vj_sys@neural_net:~

// IDENTITY_MATRIX

SYSTEM_OPERATOR

A focused applied AI professional and Data Scientist. I engineer solutions spanning exploratory data analysis, predictive modeling, and scalable architecture. My work bridges the gap between raw data metrics and tangible business realities.

Every system I build is designed for accuracy, impact, and continuous learning.

Python SQL PyTorch Scikit-learn Docker NLP EDA Feature Eng. Stat Analysis Model Eval NumPy/Pandas
Venkatesh Joshi - System Operator

// OPERATIONAL_HISTORY

PRODUCTION_LOGS

ACTIVE_ROLE

Data Science Intern // AI Variant

Oct 2025 – Jan 2026 // Bengaluru (On-site)

  • > Built and evaluated end-to-end machine learning solutions for real-world healthcare and marketing problem statements.
  • > Developed a Liver Disease Suspect Detection model using clinical datasets with rigorous data cleaning, exploratory data analysis, and feature engineering.
  • > Designed a Customer Churn Prediction model by analyzing customer behavior and engagement data to identify churn patterns and risk signals.
  • > Performed in-depth EDA and data visualization to extract actionable insights and communicate findings clearly to stakeholders.
  • > Gained hands-on experience with Python, Pandas, NumPy, scikit-learn, and full machine learning workflows including model evaluation and interpretation.
PREVIOUS_ROLE

Software Engineer QA Intern // Versa Networks Pvt. Ltd.

Sep 2024 – Mar 2025 // Bengaluru (On-site)

  • > Worked on ensuring the quality, accuracy, and reliability of enterprise-grade network security systems.
  • > Tested URL Filtering and Application Identification modules to validate correctness, stability, and production readiness.
  • > Developed Python-based validation scripts to verify URL categorization and rule behavior across multiple scenarios.
  • > Identified and resolved functional and edge-case defects through systematic testing and debugging.
  • > Collaborated closely with engineering teams to verify fixes, improve system robustness, and support reliable production releases.

// BUILD_REGISTRY

DEPLOYED_SYSTEMS

STATUS: ONLINE

AI Data Analyst Platform

Self-correcting agentic data analysis system leveraging statistical reasoning and automated insight generation.

[Python] [LLMs] [LangChain] [Docker] [EDA] [Feat. Eng.]
[SOURCE_CODE]
SYS.VER.2.1

A2A Code Modernizer

Automated architecture-to-architecture code transformation system via AST parsing and static analysis.

[Python] [AST Parsing] [LLMs] [Refactoring]
[SOURCE_CODE]
MODEL: DEPLOYED

Airline Customer Satisfaction

Predictive analytics system built on structured datasets using supervised learning and rigorous model evaluation.

[Python] [Pandas] [EDA] [Feat. Eng.] [Supervised ML]
[SOURCE_CODE]
CLINICAL: ACTIVE

Liver Disease Prediction

Medical classification pipeline utilizing advanced preprocessing, statistical analysis, and XGBoost validation workflows.

[Python] [XGBoost] [Stats] [Healthcare ML]
[SOURCE_CODE]
SIM.ENGINE: ON

Superhero Battle Simulation

Probabilistic statistical simulation engine applying Monte Carlo methods and rule-based modeling.

[Python] [NumPy] [Pandas] [Monte Carlo] [Statistics]
[SOURCE_CODE]
SENSOR: SYNC

Cardiac Arrhythmia Detection

Real-time health analytics system executing signal processing and classification via PyTorch.

[Python] [SciPy] [PyTorch] [Signal Proc.]
[SOURCE_CODE]
ENGINE: V3

Movie Recommendation System

Collaborative and content-based recommendation engine evaluating similarity metrics and matrix factorization.

[Python] [Pandas] [Matrix Fact.] [Rec. Systems]
[SOURCE_CODE]
PLATFORM: LIVE

Resume Online Assessment

End-to-end evaluation platform utilizing data-driven assessment pipelines and backend rule-based scoring.

[Python] [Backend Logic] [Rule-Based Scoring]
[SOURCE_CODE]
FILTER: ENFORCED

Spam Classifier

NLP text classification pipeline incorporating tokenization, vectorization, and supervised evaluation routines.

[Python] [NLP] [Tokenization] [TF-IDF]
[SOURCE_CODE]

// INSIGHT_ARCHIVE

KNOWLEDGE_DISTRIBUTION

// TRANSMISSION_END

INITIATE
HANDSHAKE

root@vj-sys:~/network$ _
Email_Endpoint LinkedIn_Node GitHub_Registry
>_
>_
->