Software Developer • Data Scientist • QA Enthusiast

Hi, I'm Vivek Deshmukh

I build intelligent systems, data-driven applications, and dependable software experiences that turn ideas into measurable impact.
Machine Learning Full-Stack Development Data Analysis & QA

About

I am a Computer Science graduate with a Master’s from California State University, Fullerton, and a Bachelor’s in Data Science with honors. My background blends software engineering, data analytics, and applied machine learning to build practical solutions that are both reliable and user-focused.

I enjoy transforming complex data into clear insights, improving product quality, and developing tools that make workflows smarter and more efficient. My work spans web applications, predictive systems, research support, and quality-driven development.

Core Languages Python, SQL, C/C++, JavaScript, Java
Analytics & Visualization Pandas, NumPy, Matplotlib, Tableau, Power BI
Build Stack Flask, Django, Node.js, AWS, GCP, Git

Experience

Data Analyst
  • Built executive and operational dashboards in Zoho Analytics for sales, inventory, and production visibility.
  • Developed ETL workflows using SQL, REST APIs, and Make to automate reporting across ecommerce and retail systems.
  • Created internal tools for shipping labels, spec sheets, and quoting workflows while supporting a $10M+ business.
Feb 2025 - Present | Redlands, California
Data Analyst
  • Streamlined reporting and data collection processes by identifying operational gaps and improving consistency.
  • Performed data cleaning, exploratory analysis, and visualizations to support business decision-making.
  • Evaluated marketing campaign performance and delivered recommendations that improved strategy and ROI.
Sep 2024 - Feb 2025 | Redlands, California
Research Assistant
  • Improved data quality and completion rates using Python and Excel-based validation workflows.
  • Identified data anomalies and increased analysis efficiency while supporting research reporting.
  • Automated research steps with Python scripts to reduce manual effort and speed up delivery.
Aug 2023 - May 2024 | Fullerton, California

Projects

Internal Tools I Built for the Company

These were some of the key company projects I developed and improved to support operations, fulfillment, quoting, and planning workflows.

Dashboard illustration
Dashboards Created

Built reporting experiences for business teams that translated operational activity into decision-ready views for sales, targets, and product performance.

Overview
  • JDI Sales Performance — executive visibility into sales trends and channel performance.
  • Company Wide Targets — shared monitoring of goals and attainment across teams.
  • MTD Overview — monthly operating snapshots for quick review and planning.
  • Product & Channel Performance — focused views for B2B, ecommerce, Michaels, and product-level insights.
Label Kit — Fulfillment & Logistics
Overview
  • Multi-retailer fulfillment supporting dedicated Michaels, KeHE, and packing-list/Ti-Hi workflows.
  • Automation for EDI 856 ASN XML and ShipStation files, including order matching and label generation.
  • Data-driven packaging logic using Zoho Analytics and a shared product master for SKU, GTIN, dimensions, and case-pack details.
  • Impact reduced a document-preparation workflow that could take roughly three hours per person per batch to minutes.
Pricing & Quoting Tool
Overview
  • End-to-end quoting platform covering manufacturing MOQ, raw materials, inventory handling, testing, labor, packaging, and fees.
  • Cost and margin modeling for individual units, inner packs, cases, shippers, and final kits with automatic quantity and cost calculations.
  • Workflow support for saved quotes, grouping, searching, cloning, renaming, price adjustments, quote comparison, and Excel export.
  • Integration with Zoho CRM and Zoho WorkDrive for customer-ready quote generation and collaboration.
Recipe Book — Formulation Planning
Overview
  • Formulation analysis validating recipes against a 100% formula total and calculating grams, cost per gram, and finished-unit cost.
  • What-if planning converting target quantities into raw-material purchasing requirements with MOQ and pallet utilization insights.
  • Commercial guidance using ingredient constraints and anchor rankings to identify practical production volumes.
  • Operations included approval status, version history, recipe cloning, folders, Excel export, and specification-sheet generation.

Other Academic Projects

These were the additional projects I built during my academic work, covering computer vision, machine learning, NLP, and analytics.

Face Recognition Attendance System
Face Recognition Attendance System

Built a face-based attendance system using computer vision and a web interface for recognition and attendance tracking.

Tools: Python, OpenCV, Flask

Credit Card Fraud Detection
Credit Card Fraud Detection

Developed a machine learning model to classify fraudulent transactions and improve detection accuracy.

Tools: Python, scikit-learn, pandas, numpy, Flask

Sentiment Analysis of Customer Reactions
Sentiment Analysis of Customer Reactions

Performed text-based sentiment analysis to classify customer reactions and understand user feedback.

Tools: Python, NLTK, scikit-learn, pandas, Flask

Chatbot for Interview
Chatbot for Interview

Created an interview-focused chatbot to simulate conversation and answer common questions.

Tools: Python, NLP, Dialogflow, Flask

Video Summarizer
Video Summarizer

Built a video summarization pipeline to extract key frames and generate concise summaries from videos.

Tools: Python, Computer Vision, ML, Flask

SEO Keyword Tracker and Analyzer
SEO Keyword Tracker and Analyzer

Developed a tool for tracking keyword performance and analyzing SEO trends for content planning.

Tools: Python, SEO, Analytics, Flask

Skills

Languages and Databases

Python
HTML5
CSS3
MySQL
Java
R

Libraries

NumPy
Pandas
OpenCV
scikit-learn
matplotlib
NLTK

Frameworks

Django
Flask
Bootstrap
Keras
TensorFlow
PyTorch

Education

California State University,Fullerton

Fullerton,USA

Degree: Master of Science in Computer Science
CGPA: 3.4/4.0

    Relevant Courseworks:

    • Advance Algorithms
    • Artificial Intelligence
    • Software Quality and Testing
    • Advance Blockchain Technologies
    • Advance Computer Networkings
    • Cryptography

Savitribai Phule Pune University, Pune

Pune, India

Degree: Bachelors of Engineering in Computer Engineering and Honors in Data Science
CGPA: 3.3/4.00 and 3.7/4.00

    Relevant Courseworks:

    • Data Structures and Algorithms
    • Database Management Systems
    • Operating Systems
    • Machine Learning
    • Quality Assurance and Testing

Contact