Open to work · Bhopal, India · AI/ML · Data · BI roles
Parth
Sharma
Sharma
|
AI/ML & Data Engineer
I build ML models, data pipelines and BI dashboards with Python, SQL, scikit-learn, FastAPI and Power BI.
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Projects
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Tools & Skills
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Certifications
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SQL ·
Power BI ·
Tableau ·
Python ·
ETL Pipelines ·
Data Modeling ·
Star Schema ·
Pentaho Spoon ·
DAX ·
Pandas ·
Business Intelligence ·
MySQL ·
KPI Dashboards ·
Machine Learning ·
FastAPI ·
SQL ·
Power BI ·
Tableau ·
Python ·
ETL Pipelines ·
Data Modeling ·
Star Schema ·
Pentaho Spoon ·
DAX ·
Pandas ·
Business Intelligence ·
MySQL ·
KPI Dashboards ·
Machine Learning ·
FastAPI ·
What I Offer
From Raw Data to Real Impact
🧠
Machine Learning
Cleaning data, engineering features, then training and comparing models with scikit-learn, XGBoost and PyTorch.
🚀
Deploy & APIs
Serving models as live FastAPI endpoints. My Insurance Incentive app runs on Render with a web frontend on Vercel.
⚙️
Data Pipelines
ETL in MySQL/SQL and Pentaho Spoon, star-schema fact and dimension tables, and data validation.
📊
BI Dashboards
Power BI dashboards built with SQL and DAX, refreshed weekly for teachers and administrators.
01 — About Me
The Mind Behind the Data
PS
Parth Sharma
AI/ML & Data Engineer
📍 Bhopal, Madhya Pradesh, India
8
Projects
5+
Tools
3
Certs
Open to opportunities
CORE SKILLS
PythonSQLscikit-learnXGBoostFastAPIPower BIETLPandas
AI/ML & Data Engineer building models, pipelines and dashboards
I'm a B.Tech (AI & Data Science) graduate in 2026, interning at Decode Data Academy where I build ETL pipelines, star-schema models and Power BI dashboards.
I also build ML projects end to end: cleaning data, engineering features, training models and deploying them as live APIs. My Insurance Incentive app runs on FastAPI.
I'm currently learning Generative AI, LLMs and RAG, with AI Solutions Engineering planned next.
Analytical Depth
I don't just query data — I interrogate it. Every number tells a story worth finding.
Engineering Mindset
ETL pipelines, star schemas, optimized SQL — building infrastructure that makes analytics reliable.
Visual Storytelling
Power BI dashboards that communicate insight to teachers, administrators and other stakeholders.
Always Learning
Currently learning Generative AI, LLMs and RAG.
Career Timeline
2026
B.Tech Graduation
Artificial Intelligence and Data Science · 2022–2026
2025
AI/ML Engineer Intern — Decode Data Academy
October 2025 – September 2026 · ML · DL · ETL · Power BI · SQL · Star Schema
2025
AWS Academy — Data Engineering Badge
December 2025
2024
Wipro TalentNext — Database Solutions Expert
October 2024
2020
Class XII — Maniklal Nahar Higher Secondary School
2020–21
2018
Class X — Shri Maniklal Nahar International School
2018–19
At a Glance
Data Snapshot
0+
End-to-end Analytics Projects
SQL · Power BI · Python
0+
ETL Pipelines Built
Pentaho Spoon · MySQL
0+
Years of F1 Data Analyzed
Power BI · DAX · Excel
02 — Technical Skills
My Toolkit
Grouped by what I use each tool for.
🤖
Machine Learning
💬
GenAI & APIs
⚙️
Data Engineering
📈
Analytics & BI
🐍
Python
03 — Experience
Where I've Worked
October 2025 — September 2026
Building real-world data solutions, every single day.
From cleaning student records to building Power BI dashboards, this internship is hands-on data engineering and BI work.
AI/ML Engineer Intern
Decode Data Academy
October 2025 — September 2026
📍 Bhopal, Madhya Pradesh, India
01
Built data-preparation pipelines in MySQL and SQL to ingest, clean, and standardize 10,000+ records across 5+ branches and 2 colleges, eliminating 95%+ of data errors and producing model-ready datasets for analytics and ML use cases.
02
Built 10--15 SQL views and 4--5 star-schema tables that make metrics and features easy to derive at scale.
03
Automated recurring data processing with a Pentaho Spoon ETL layer, improving efficiency by 20--30\%.
04
Validated data quality and business rules across 1,000+ records so analysis and modeling run on trustworthy inputs.
08
Built 6 Power BI dashboards (10+ KPI cards, SQL + DAX), refreshed weekly for teachers and administrators.
10
Worked as the only intern in a 6-member analytics team, defining schemas and KPIs.
04 — Projects
Featured Work
End-to-end projects spanning machine learning, engineering, and visualization.
01 / 08 · Featured · New
Insurance Incentive Optimization
Predicts policy renewal probability on 67,875 records and recommends the revenue-maximizing agent incentive (Rs. 500–4,500) per policy.
scikit-learn Pipeline: median imputation, one-hot + target encoding, scaling
Engineered Total_late feature
Compared Random Forest and XGBoost
FastAPI /predict endpoint on Render + live web frontend on Vercel
Pythonscikit-learnXGBoostFastAPIRenderVercel
02 / 08 · New
Cab & Auto Fare Prediction
Merged 7 ride datasets (465K+ raw records) into one schema; removed 7,329 duplicates and 1,270 rate-card rows, leaving 376K clean rows.
Found and removed target leakage
sin/cos time features; location-frequency encoding for ~12.8K locations
Leak-free 70/15/15 split
HistGradientBoosting baseline vs PyTorch embedding MLP with a 3-seed ensemble
PythonPandasPyTorchscikit-learn
03 / 08 · Featured
Student Contest Analytics System
A comprehensive analytics platform for ranking students, tracking KPIs, and classifying participation patterns — built on a star schema dimensional model with end-to-end Power BI reporting.
Fact & dimension table design for analytical depth
Student ranking engine & classification logic
KPI dashboard with interactive drill-downs
Participation pattern analysis & segmentation
SQLMySQLPower BIData ModelingStar SchemaDAX
04 / 08
Banking Risk Analytics & Loan Default Analysis
Credit risk system analyzing loan defaults on 55K rows × 122 columns, with 10+ engineered features and a comparison of Logistic Regression, Decision Tree and Gradient Boosting.
55K rows × 122 columns analyzed
10+ engineered features
Compared Logistic Regression, Decision Tree and Gradient Boosting
Rich visualizations — Matplotlib & Seaborn
PythonPandasNumPyMatplotlibSeaborn
05 / 08
Formula 1 Championship Analytics Dashboard
70+ years of F1 history distilled into an interactive Power BI dashboard — constructor dominance, race strategy, and driver performance across eras.
70+ years of championship data analyzed
Constructor dominance & era rivalry trends
Race strategy & pit stop pattern analytics
Complex DAX performance measures
Power BIDAXExcelData Analysis
06 / 08
Flight Data Engineering Pipeline
End-to-end data engineering pipeline processing airline data — from raw ingestion through ETL transformation to Power BI dashboards tracking operational performance.
Full ETL pipeline with data optimization
Airline performance & route analytics
Delay pattern analysis & insights
Power BI operational dashboards
SQLETLPower BIMySQLPentaho
07 / 08 · New
Cryptocurrency Market Analysis Dashboard
An end-to-end crypto analytics dashboard built using real-time CoinGecko API data to analyze market trends, volatility, tokenomics, and investment insights.
Real-time CoinGecko API integration
Market volatility & tokenomics analysis
Advanced DAX calculations
Strategic investment insights dashboard
Power BIDAXPower QueryCoinGecko API
08 / 08 · New
Olist E-Commerce Analytics Dashboard
A complete BI solution using the Brazilian Olist e-commerce dataset — analyzing marketplace operations, customer behavior, seller performance, and payment analytics across 100K+ orders.
Executive, Sales & Customer dashboards
Delivery analytics & seller performance
Payment insights & funnel analysis
100K+ orders analyzed end-to-end
Power BIPower QueryDAXData Modeling
05 — Certifications
Credentials & Recognition
AWS Academy · Dec 2025
Data Engineering Badge
Covered: data lakes, S3 storage, AWS Glue ETL, Redshift data warehousing, and cloud analytics.
Wipro TalentNext · Oct 2024
Database Solutions Expert
Covered: database design, SQL optimization, stored procedures, indexing strategies, and enterprise data management.
HackerRank
SQL 5-Star Gold Badge
Covered: SQL problem solving on HackerRank.
— Current Learning
My Learning Roadmap
A path from data analytics and machine learning to AI Solutions Engineering.
✅ Completed
SQL & MySQL
Advanced queries, joins, stored procedures, data modeling
Python for Data Analysis
Pandas, NumPy, Matplotlib, Seaborn, Jupyter
Excel & Data Analysis
Pivot tables, advanced formulas, data cleaning
Power BI & DAX
Interactive dashboards, KPI tracking, advanced DAX measures
Tableau
Visual analytics, calculated fields, dashboard design
ETL & Pentaho Spoon
End-to-end pipelines, data transformation, star schema design
Machine Learning (scikit-learn, XGBoost, PyTorch)
Feature engineering, classification, model evaluation
FastAPI (deployed an ML API)
REST API serving a deployed ML model
🚀 In Progress
Generative AI, LLMs & RAG
LLMs and retrieval-augmented generation
⏳ Planned
AI Solutions Engineering
Building AI-powered data applications end-to-end
— Building Next
Building Next
The next chapter — GenAI applications built on top of my ML and data foundation.
Planned
AI PDF Chatbot (RAG)
Upload any PDF document and chat with it — powered by RAG and vector embeddings.
PythonLangChainRAG
Planned
AI Resume Analyzer
Upload a resume, get AI-powered feedback on structure, keywords, and ATS compatibility.
PythonFastAPILLM
Planned
AI SQL Assistant
Natural language to SQL — describe your query in plain English, get optimized SQL back instantly.
PythonFastAPIOpenAISQL
Planned
AI Business Dashboard Assistant
Ask your dashboard questions in natural language — get instant data insights powered by AI.
Power BIPythonOpenAI
Planned
AI Report Generator
Feed in your dataset, get a professional analytics report with charts and insights automatically.
PythonFastAPIGenerative AI
"
Data is the foundation. Models are the structure. Working software is the goal — one pipeline, one dashboard, and one model at a time.
— Parth Sharma · AI/ML & Data Engineer
07 — Contact
Let's Connect
Whether it's an AI/ML, data science, data engineering or BI role, or a project to collaborate on — I'm open to connecting.
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