Skip to content

Masthan Shaik

Data Scientist • s***************@gmail.com • +91*******253 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Data Scientist with 0 years of experience applying Python, machine learning, and data visualization to transform raw data into actionable insights. Skilled in data preprocessing, feature engineering, scikit-learn and TensorFlow modeling, RAG-based knowledge retrieval (FAISS, Chroma), and building interactive Power BI dashboards and AI web applications using Flask and Streamlit.

Technical Skills

Programming Languages: Python
Frameworks and Libraries: Flask,Django,Streamlit,Pandas,NumPy,scikit-learn,TensorFlow,LangChain,matplotlib
Databases: SQL,FAISS,Chroma,MySQL
Data and Analytics: Data Cleaning,ETL Concepts,Data Validation,Data Integration,Deep Learning,CNN,RNN,Power BI,Power Query,DAX
Tools and Methodologies: OpenAI,CrewAI,Groq LLMs,RAG,Git,GitHub,VS Code,Postman,Microsoft Excel
Skills: HTML5,CSS3

Work Experience

Palle Technologies
Python Full Stack & Data Science Trainee
Jun 2025 – Jan 2026
Worked at Palle Technologies, a software and training provider, developing AI-powered web applications, ML models, RAG pipelines, and business intelligence dashboards for internal and client-focused projects.
Tech Stack: Python, Flask, CrewAI, Groq LLMs, OpenAI, FAISS, Chroma, scikit-learn, TensorFlow, Pandas, NumPy, MySQL, Power BI, Power Query, DAX, Git, GitHub, VS Code, Postman, Streamlit
  • Developed AI-powered web applications using Flask, CrewAI, and Groq LLMs; implemented multi-agent workflows for automated content generation and integrated backend APIs with user-facing UI components.
  • Built machine learning models for prediction and classification using scikit-learn and TensorFlow; conducted data preprocessing, feature engineering, and model evaluation to produce production-ready models.
  • Designed and implemented Retrieval-Augmented Generation pipelines using FAISS and Chroma for vector indexing and OpenAI LLMs for context-aware responses in a personal knowledge assistant.
  • Created interactive Power BI dashboards using Power Query and DAX; connected MySQL/SQL data sources and transformed raw data into visual KPIs to support business decision-making.
  • Collaborated on application testing, debugging, and deployment using Git, GitHub, VS Code, and Postman; maintained code repositories and implemented release-ready application builds.
  • Improved data quality and pipeline reliability by implementing ETL processes, data validation, and cleaning routines in Python and SQL to ensure analysis-ready datasets for ML and BI workflows.

Projects

AI Blog Generator
Tools Used: CrewAI, Groq LLMs, Flask, Multi-agent workflows
  • Implemented a multi-agent content pipeline (Research, Writer, Editor agents) using CrewAI and Groq LLMs to generate structured, publication-ready blog posts.
  • Built a Flask-based web interface that accepts user prompts, orchestrates agent workflows, and returns refined blog drafts ready for publishing.
  • Integrated data validation and template-based formatting to ensure generated content met quality and structure requirements.
Personal AI Knowledge Assistant
Tools Used: FAISS, Chroma, OpenAI, Streamlit, RAG
  • Developed a conversational assistant capable of answering questions over personal documents by implementing RAG with FAISS/Chroma for vector retrieval.
  • Connected OpenAI LLMs to retrieved context to produce context-aware responses and implemented conversational memory in a Streamlit UI.
  • Processed PDFs and notes for indexing, including text extraction, chunking, and embedding generation for accurate retrieval.
Sales Performance Dashboard (Power BI)
Tools Used: Power BI, Power Query, DAX, MySQL, SQL
  • Designed interactive Power BI dashboards to visualize sales trends, revenue performance, and business KPIs for decision-making.
  • Performed data cleaning and transformation using Power Query and DAX to create consistent, analysis-ready data models.
  • Connected dashboards to MySQL/SQL sources and created reusable measures to support ad-hoc business reporting.
Customer Churn Prediction Analysis
Tools Used: Python, Pandas, scikit-learn, SQL
  • Processed and analyzed customer datasets using Pandas and SQL to identify churn indicators and prepare features for modeling.
  • Engineered features and trained predictive models with scikit-learn, performing evaluation and validation to identify at-risk customers.
  • Delivered visual reports and model insights to recommend retention strategies and guide stakeholder decisions.

Education

Gokula Krishna College of Engineering
Bachelor of Engineering (Computer Science) • Dec 2021 – Apr 2025

Certifications

Python Full-Stack with Data Science — Palle Technologies
MS Office with AI — Skil Nation
Prompt Engineering — Simplilearn

Achievements

  • Selected for Internship and Advanced Internship at Sun Square Technologies
  • Completed Python Full Stack & Data Science program at Palle Technologies

Powered by Drivetube · Create your own profile at drivetube.ai

Explore Drivetube

  • Drivetube Profile — your free digital resume — at drivetube.ai/in/your-name: one true standard resume with a Hiring Snapshot (visa status, expected salary, notice period, work preference, relocation), an ATS-ready PDF download and a single shareable link. Free forever; interview requests come from verified employers and your contact details stay masked until you accept. Documentation.
  • Free Job Board — verified openings crawled ATS-by-ATS from 100,000+ real company career pages across 35 ATS platforms. Shows the true posting date from the source ATS — not when a listing was indexed — and deletes every general listing 3 days after it was actually posted. No ghost jobs, no ad-sponsored listings, no staffing reposts, no account needed. Documentation.
  • Job Hunt Program — managed job hunting, a one-time purchase from $199.99. JobScout matches verified roles to your real experience band, Blend AI writes a uniquely tailored resume and cover letter for every application, and the Autofill extension fills the form — or Let Us Apply submits it for you. Documentation.
  • Resume Writing Services — human-written, ATS-optimised resumes by senior career writers, from ₹499.99 / $25.99. Available in every country, written to the destination country's own standard — a US resume, UK CV, German Lebenslauf and Indian resume are genuinely different documents. A paid service, separate from the free Drivetube Profile. Documentation.
  • Community Membership — from $4.99/month (₹1,999/year in India). Unlocks the gated job-board filters — visa sponsorship, security clearance, workplace and application time — plus Job-Scout AI matching, Resume Report AI, Interview AI prep sheets, Recruiter Outreach AI sent from your own Gmail, Apply or Skip triage, a daily market feed and a $10,000+ library including 23 ATS-validated resume templates. Documentation.
  • Drivetube Hire — for employers — hiring with no job postings and no applications. Paste your real job description and AI matches it against candidates' true standard resumes, returning ranked candidates with a match %, matched and missing skills and written reasoning. Free tier included; employers pay, candidates never do. Documentation.

Full product documentation — every product explained, with feature-by-feature comparisons against the job boards, AI apply tools, resume services and hiring platforms people actually use.

The job board covers the United States, India, United Kingdom, Canada, Europe and Australia, and Resume Writing Services are available in every country.