I compile intelligent_algorithms
that transform data into insights|
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$ cat /dev/about
// Transforming algorithms into intelligent solutions through code and innovation
Machine Learning
Data Visualization
Full Stack Development
$cat /neural_net/profile.json
With over 3 years of professional experience (Aug 2021 - Dec 2024) in machine learning and data science, I specialize in building intelligent systems that transform raw data into actionable insights. My expertise spans across ML pipelines, NLP models, time series forecasting, and real-time analytics.
Currently pursuing my Master's in Computer Science (AI) at Arizona State University (Aug 2025 - Dec 2026), following completion of my MS in Data Science foundation program(Jan 2025 - July 2025). I've published research in Springer LNNS 2024 and delivered production ML systems at organizations like ISRO and Cavinkare, achieving significant business impact.
Arizona State University Profile
View Academic Portfolio →
Research Publications
View Google Scholar Profile →
$ ls -la /dev/skills/
// Comprehensive tech stack across multiple domains and frameworks
Machine Learning & AI
// Advanced neural networks and intelligent systems
const machineLearning =
const deepLearning =
const nlpTools =
Programming Languages
// Multi-paradigm development expertise
const additionalLanguages = [
Frameworks & Libraries
ml_frameworks =
data_processing =
visualization =
analysis_tools =
Cloud Platforms & DevOps
aws:
cloud_platforms:
devops_tools:
Databases & Business Intelligence
databases = [
bi_tools = [
Professional Skills
// Soft skills that drive project success
$ cat /etc/education
// Academic credentials and continuous learning pathway
Master of Science in Computer Science
Arizona State University
specialization: "Artificial Intelligence"
gpa: "3.5+/4.0"
Aug 2025 - Dec 2026
Expected Graduation: Dec 2026
Master of Science in Data Science
Arizona State University
foundation: "Data Science and Analytics"
Jan 2025 - July 2025
Transitioned to MS CS (AI)
Bachelor of Technology
Computer Science & Engineering
institution: "SRM Institute of Science and Technology"
location: "Chennai"
June 2017 - June 2021
Junior/Senior Years: 83% (3.3/4.0)
$ cat /var/log/experience.log
// My journey through diverse roles in data analytics, research, and technology
"position": "Data Analyst"
"company": "CavinKare Private Limited"
As a Data Analyst at CavinKare, I led multiple cross-functional analytics initiatives across manufacturing, HR, supply chain, and veterinary healthcare. My work helped digitize operations, reduce inefficiencies, and transform data into decisions across 50+ facilities and 1600+ SKUs.
🧠 // HR Analytics & Employee Experience Intelligence
- > Built an end-to-end HR analytics pipeline covering onboarding, tenure, satisfaction, and exit behavior
- > Applied NLP (VADER, spaCy, NLTK) and sentiment analysis on employee feedback to uncover key drivers of satisfaction and pain points
- > Designed a recommendation system for HR to target improvements by department and role
📦 // Supply Chain & Inventory Optimization
- > Led inventory optimization across 52 depots using ABC-XYZ analysis, sales velocity, and seasonality modeling
- > Built an inter-depot recommendation engine for dynamic stock transfers based on shelf life and regional demand
- > Developed personalized threshold models for 1600+ SKUs and conducted obsolescence analysis
- > Reduced expiry-related wastage by 70% through proactive redistribution of aging inventory
🐾 // Forecasting for Veterinary Supplies
- > Forecasted demand for 800+ medicines using ARIMA, SARIMA, SARIMAX, and FBProphet
- > Built per-SKU models that accounted for substitution, irregular usage, and seasonal spikes
- > Achieved 85% prediction accuracy and reduced emergency shortages and wastage by 90% for regular meds, and 60% for irregular-use items
💼 // Business Requirements, Data Reporting and +21 skills
"duration": "Nov 2022 - Dec 2024"
"period": "2 yrs 2 mos"
"location": "Chennai, India"
"type": "Full-time · On-site"
Graduate Engineer - Data Analyst
CavinKare Private Limited
// Optimized plant efficiency and machine runtime through comprehensive data analysis and IoT integration.
🔧function plantOptimization()
- → Developed Power BI dashboards (DAX, MS-SQL) to track equipment uptime, breakdowns, and performance trends across all 7 manufacturing units PAN INDIA
- → Collaborated with IoT and operations teams to enhance real-time surveillance and reporting
- → Improved production efficiency by 15% by identifying bottlenecks and optimizing machine utilization
- → Automated Reporting of Performance Analysis of all Machine Units
💎 skills: ["ETL", "Data Analysis", "+10 more"]
Aug 2021 - Oct 2022
1 yr 3 mos
Chennai, India
Research Intern
IIRS, Indian Space Research Organisation (ISRO)
// Conducted advanced remote sensing analysis using satellite data to examine atmospheric patterns and contributed to cutting-edge atmospheric research at IIRS.
🛰️class RemoteSensingAnalysis:
- → Conducted remote sensing analysis using CALIPSO satellite data to examine seasonal aerosol trends over Uttarakhand
- → Performed time-series analysis with MATLAB and Python to extract insights from vertical aerosol profiles stored in .hdf format
- → Contributed to atmospheric research efforts at IIRS and participated in internal project review presentations
Dec 2020 - May 2021
6 mos
Dehradun, India
Application Developer
Glowstar IT
// Developed interactive visual analytics dashboards for financial portfolio management and built risk forecasting tools in an agile environment.
📊interface FinancialAnalytics {
- → Developed interactive visual analytics dashboards for a financial portfolio management system using Python
- → Built and tested early-stage financial risk forecasting tools and collaborated with product teams in an agile environment
- → Enhanced data pipeline efficiency and dashboard responsiveness based on business logic requirements
May 2019 - Jul 2019
3 mos
Cairo, Egypt
$ ls -la /credentials/
// Professional credentials and continuous learning achievements
AWS Educate Machine Learning Foundations
Amazon Web Services
Issued: August 2025
No Expiration
Prompt Design in Vertex AI Skill Badge
Google Cloud
Issued: August 2025
No Expiration
Academy Accreditation - Generative AI Fundamentals
Databricks Academy
Issued: August 2025
Expires: August 2027
ID: 157420102
Academy Accreditation - Databricks Fundamentals
Databricks Academy
Issued: August 2025
Expires: August 2026
ID: 157369377
Data Structures and Algorithms
Arizona State University
Issued: January 2025
No Expiration
$ cd /projects && ls -la
// A showcase of my recent work, demonstrating technical expertise and creative problem-solving
"Closet"
// AI-powered fashion discovery platform with Tinder-style swipe interface. LinUCB machine learning algorithm learns from each swipe, creating personalized recommendations from 5,000+ curated products.
"Knovera.ai"
// Research intelligence platform that transforms scientific papers into interactive knowledge graphs. GraphRAG architecture with AI-driven concept extraction and confidence scoring.
"Real-time Analytics Dashboard"
// Interactive dashboard with real-time data visualization and customizable reporting features built with Power BI and advanced analytics.
$ cat /var/log/journey.log
// A timeline of my professional growth, education, and achievements
Started BTech Journey
Computer Science & Engineering
SRM Institute of Science and Technology
Chennai, India
SRM UAV Team
UAV Fabrication and Analysis
Won "Best in Technical Design" in AUVSI SUAS 2019
Chennai, India
Application Developer
Glowstar IT
Interactive visual analytics dashboards for financial portfolio management
Built risk forecasting tools in agile environment
Cairo, Egypt
May 2019 - Jul 2019
Research Intern
IIRS, Indian Space Research Organisation (ISRO)
Remote sensing analysis using CALIPSO satellite data
Time-series analysis with MATLAB and Python
Dehradun, Uttarakhand, India
Dec 2020 - May 2021
Data Analyst - GET
Plant Efficiency & Machine Runtime Optimization
ETL, Data Analysis & Power BI Dashboards
Chennai, India
Data Analyst - CavinKare
Cross-functional Analytics Initiatives
Manufacturing, HR, Supply Chain & Veterinary Healthcare
Chennai, India
Research Publication
Published in Springer LNNS 2024
Credit Card Fraud Detection using ML
Singapore
ASU Data Science
MS in Data Science Foundation
Arizona State University
Tempe, Arizona, USA
MS Computer Science (AI)
Specialization in Artificial Intelligence
Arizona State University • 2025-2026
Tempe, Arizona, USA
What's Next?
Continuing to push the boundaries of AI and machine learning, while building innovative solutions that make a real impact on the world.
$ find /research -name "*.pdf"
// Contributing to the advancement of machine learning and data science through innovative research in fraud detection and financial analytics
Credit Card Fraud Detection Using Machine Learning Pipelines
Shashikant Nanda, et al.
Springer Lecture Notes in Networks and Systems
A comprehensive study on developing robust machine learning models for real-time credit card fraud detection, addressing critical challenges in financial security and transaction monitoring systems through advanced data preprocessing and classification techniques.
Key Technical Contributions:
Machine Learning Pipeline Design: Designed a comprehensive machine learning pipeline using Random Forest and advanced classification models to detect credit card fraud with high precision and recall rates.
Data Preprocessing for Class Imbalance: Implemented advanced data preprocessing techniques for handling class imbalance challenges using cost-sensitive learning approaches and data segmentation strategies.
Performance Evaluation Metrics: Evaluated model results using comprehensive metrics including precision, recall, and F1-score to ensure robust fraud detection performance across different scenarios.
Real-time Detection Feasibility: Demonstrated real-time detection feasibility using anonymized transactional datasets, contributing significantly to financial fraud analytics research.
DOI: 10.1007/978-981-97-4892-1_30
Springer LNNS • 2024
Research Impact
This research contributes to the growing field of financial fraud detection by providing practical insights into machine learning applications for real-time transaction monitoring.
- • Addresses critical challenges in imbalanced datasets
- • Provides framework for scalable fraud detection systems
- • Demonstrates real-world application feasibility
Future Research Directions
Currently exploring advanced approaches to enhance fraud detection capabilities and expand applications to other financial security domains.
- • Deep learning and neural network implementations
- • Real-time streaming data processing integration
- • Federated learning for privacy-preserving detection
Interested in Research Collaboration?
I'm always excited to collaborate on cutting-edge research in machine learning, fraud detection, and financial analytics. Let's explore innovative solutions together.
$ ./initiate_collaboration.sh
// Ready to build the future? Let's connect and create innovative solutions together.
Get in Touch
Location
Open to remote opportunities worldwide
Arizona, USA
Ready to Start a Project?
I'm currently available for freelance work, consulting, and full-time opportunities in data science, machine learning, and AI. Whether you're looking to build innovative solutions or need help with data-driven insights, let's discuss how we can bring your vision to life.
Machine Learning & AI
Custom ML models, AI solutions, and intelligent automation systems
Data Analytics
Business intelligence, data visualization, and predictive analytics
Research & Development
Academic research, paper writing, and innovative problem solving
Consulting
Strategic guidance on data science projects and technology adoption
Quick Response
I typically respond to emails within 24 hours
Global Collaboration
Open to working with teams worldwide
Quality Focus
Committed to delivering high-quality solutions