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.
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.
Experience
- 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.
- 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.
- 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.
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.
Built reporting experiences for business teams that translated operational activity into decision-ready views for sales, targets, and product performance.
- 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.
- 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.
- 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.
- 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.
Built a face-based attendance system using computer vision and a web interface for recognition and attendance tracking.
Tools: Python, OpenCV, Flask
Developed a machine learning model to classify fraudulent transactions and improve detection accuracy.
Tools: Python, scikit-learn, pandas, numpy, Flask
Performed text-based sentiment analysis to classify customer reactions and understand user feedback.
Tools: Python, NLTK, scikit-learn, pandas, Flask
Created an interview-focused chatbot to simulate conversation and answer common questions.
Tools: Python, NLP, Dialogflow, Flask
Built a video summarization pipeline to extract key frames and generate concise summaries from videos.
Tools: Python, Computer Vision, ML, Flask
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
- Advance Algorithms
- Artificial Intelligence
- Software Quality and Testing
- Advance Blockchain Technologies
- Advance Computer Networkings
- Cryptography
Relevant Courseworks:
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
- Data Structures and Algorithms
- Database Management Systems
- Operating Systems
- Machine Learning
- Quality Assurance and Testing
Relevant Courseworks: