Siddhant Hardikar
Summary
Passionate about data analytics and machine learning, I specialize in converting complex data into actionable insights, fueling innovation and strategic decisions. My expertise spans statistical analysis and predictive modeling, driving me to explore new ways to leverage data for continuous progress. Committed to excellence and a data-driven approach, I aim to catalyze transformative changes in any endeavor I undertake.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Analyst, Supply Chain
Saldemar Solutions LLC - John H. Stroger, Jr. Hospital of Cook County
Chicago, USA
03.2023 - Current
- Achieved a 20% reduction in anomalies by rigorously validating and cleansing data, ensuring quality and accuracy across more than 10,000 SKUs
- Conducted exploratory data analysis to uncover insights, contributing to significant improvements in supply chain efficiency and operational continuity
- Played a pivotal role in an ERP transition project, contributing to a 12% decrease in order cancellations and a 9% improvement in procurement times via strategic data analysis
- Collaborated cross-functionally to translate complex data findings into strategic insights for internal and external stakeholders.
Marketing Data Analyst
RISKPRO Management Consulting PVT. LTD.
Pune, India
01.2020 - 01.2021
- Analyzed customer demographics, purchase behaviors, and engagement patterns to identify market segments and consumer trends
- Drove a 25% increase in campaign effectiveness by developing customer segmentation models using machine learning
- Utilized Time Series Analysis on 3+ years of sales data, significantly contributing to a 15% increase in marketing campaign ROI through precise sales forecasting
- Analyzed and presented marketing campaign performance across various channels by monitoring key KPIs (Conversion Rate, Click-Through Rate, and Engagement Rate), creating clear, actionable reports and dashboards that informed and refined data-driven marketing strategies.
Education
Master in Supply Chain Analytics and Operations Management -
University of Illinois At Chicago
12.2022
Bachelor in Computer Engineering -
University of Pune
06.2019
Skills
- Data Analysis Tools & Libraries: Proficient in using Python libraries such as Pandas, Numpy, Matplotlib, Seaborn, ggplot, Plotly, Scipy, and Statsmodel for comprehensive data analysis tasks
- Programming: Python, C
- Machine Learning & Data Science: Proficient in ML frameworks (PyTorch, Sklearn) and NLP (NLTK, Spacy, Gensim), with proven expertise in both supervised and unsupervised models
- Version Control & Deployment: Git, DVC, Docker, AWS ECS, AWS SageMaker
- ML Web Frameworks: FastAPI, Flask, Streamlit
- Software/Databases: Skilled in Microsoft Excel (PowerQuery) and MySQL for data management, complex queries, and task automation
- Data Visualization: PowerBI, Tableau
- Statistical Analysis: Inferential Statistics, Regression Analysis, Hypothesis Testing, Bayesian Methods, Time Series Analysis
Projects
Strategic ERP deployment and Supply Chain refinement:
Collaborated on data migration for Cook County Health's ERP shift from Oracle EBS to PAREX, ensuring the accuracy and reliability of over 10,000 medical supplies. Leveraged predictive analytics and advanced unsupervised learning strategies for medical supply segmentation, yielding a 12% decrease in order cancellations and a 9% improvement in procurement efficiency.
RealEstimate: Property Valuation and Market Analysis Platform:
Developed a Streamlit-based real estate application featuring price predictions, property recommendations, and market analysis, utilizing MLflow and Docker for robust model management. Ensured high accuracy and efficient deployment across the entire machine-learning lifecycle. Successfully deployed the application on AWS EC2, integrating CI/CD pipelines to guarantee real-time scalability and reliability.
IntelliBank ML: Pioneering Financial Insight with Machine Learning Analytics:
Crafted a banking analytics tool with ML modules for fraud detection, loan conversion, and churn analysis in Europe. Implemented Flask, DVC, and CI/CD for optimal deployment, utilized Docker and AWS for scalability.
Certification
Data Science Mentorship Program 2.0 - CampusX
Python Programming - Udemy
SQL for Data Science - UC Davis
Introduction to RDBMS - Coursera
Business Intelligence Analyst - Opine Group
Six Sigma Green Belt - University of Illinois Chicago
Timeline
Data Analyst, Supply Chain
Saldemar Solutions LLC - John H. Stroger, Jr. Hospital of Cook County
03.2023 - Current
Marketing Data Analyst
RISKPRO Management Consulting PVT. LTD.
01.2020 - 01.2021
Master in Supply Chain Analytics and Operations Management -
University of Illinois At Chicago
Bachelor in Computer Engineering -
University of Pune
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