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HardikKachhwaha

Data Scientist & ML Engineer

5+ years building production ML systems and GenAI solutions. Expert in end-to-end pipelines, reducing downtime by 30% and improving efficiency by 75%.

5+ Years
Experience
75%
Time Saved
60%
Cost Reduction
HK
HK

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Impact Metrics

Proven Results

Delivering measurable impact across production systems, data pipelines, and AI solutions

75%
Report Generation
Time Reduction
50K+
Records Processed
Per Day
30%
Downtime Reduction
System Reliability
40%
Processing Speed
Data Pipelines
25%
Production Yield
ML Models
20%
Query Resolution
Efficiency Boost
60%
Infrastructure Cost
Reduction
50%
User Engagement
Increased

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Career Highlights

Key Achievements

Quantifiable results across business impact, technical excellence, and team leadership

75%

Report Generation Time Reduction

Automated ETL pipelines using Spark and Python, transforming manual workflows into streamlined processes

Saved 20+ hours weekly across teams
$500K+

Annual Cost Savings

Optimized production yield by 25% through end-to-end ML pipelines and predictive maintenance systems

Reduced operational costs significantly
30%

System Downtime Reduction

Deployed predictive maintenance models using Hidden Markov Models (HMM) to forecast equipment failures

Enhanced reliability across critical operations
60%

Infrastructure Cost Reduction

Migrated legacy AI platforms to AWS, optimizing cloud architecture and resource allocation

Reduced monthly cloud spending dramatically
20%

LLM Chatbot for Compliance

Built OpenAI-powered chatbot to streamline compliance queries for mechanical and process teams

20% faster query resolution
50K+

High-Volume Data Processing

Engineered scalable data pipelines on AWS (S3, Lambda) with real-time insights and alerting

Handles massive data volumes seamlessly
40%

Processing Speed Improvement

Optimized data ingestion pipelines with advanced ETL techniques and parallel processing

Faster insights for decision-making
50%

AI Performance Enhancement

Led migration of chatbot platforms to AWS, improving response times and accuracy

Better user experience and satisfaction
5+

End-to-End ML Pipeline Leadership

Led cross-functional teams to design and implement production ML systems from concept to deployment

Delivered 5+ pipelines in production
100%

AI Product Initiative Leadership

Spearheaded chatbot and voice assistant platforms for enterprise clients

Drove product roadmap and strategy
50%

User Engagement Growth

Deployed NLP frameworks into production, significantly improving customer satisfaction

30% satisfaction improvement
100%

Real-Time Executive Dashboards

Built executive dashboards enabling leadership to track KPIs and business performance daily

Data-driven decision making

Want to see how I earned these achievements?

Career Journey

My Story

From Software Engineer to Data Scientist in 5 years

2025

Data Scientist

edYOU Technologies

Los Angeles, CA

AI-powered reporting with GPT/Claude, 75% faster reports, 50K+ records/day processing, 50% query latency reduction

2022-2025

Associate Data Scientist

Biogas Engineering

Long Beach, CA

25% yield improvement, LLM chatbot (1000+ queries/month), 30% downtime reduction via predictive maintenance

2022

Data Analyst

Biogas Engineering

Long Beach, CA

80% accuracy in failure prediction, 25% downtime reduction, role-based dashboards serving 10+ users

2021-2022

MS in Data Analytics

Northeastern University

Boston, MA

Machine Learning, Big Data Analytics, Data Mining

2018-2020

Software Engineer

Larsen & Toubro Infotech

Mumbai, India

50% NLP accuracy improvement, 10K+ monthly users, 60% cost reduction, 99.9% uptime

Technical Expertise

Full-Stack Data Scientist

From data pipelines to production ML systems - expertise across the entire stack

5+ years

ML & Analytics

Predictive Modeling95%
Anomaly Detection90%
NLP85%
Time Series (ARIMA, HMM)90%
2+ years

LLM & GenAI

RAG Systems95%
Prompt Engineering90%
Langchain/LangGraph85%
GPT-4/Claude95%
5+ years

Programming

Python (Expert)95%
SQL95%
R75%
FastAPI/Flask90%
4+ years

Cloud & MLOps

AWS (Lambda, S3, EC2)90%
Docker85%
Airflow85%
MLflow80%
5+ years

Data Engineering

ETL Pipelines95%
Apache Spark90%
AWS Redshift85%
Databricks80%
4+ years

Visualization

Tableau90%
Power BI85%
Looker80%
Plotly/Dash85%
30+
Technologies
5+
Years Experience
10+
Production Systems
3+
Certifications
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Open to opportunities in Data Science, ML Engineering, and Data Engineering

Available for opportunities

Ready to make an impact?

Looking for Data Scientist, ML Engineer, or Data Engineering roles. Can start within 2-4 weeks. Remote or Los Angeles area.

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