Supply Chain Machine Learning

POOJA SURESH KADAM

ad8rj1@r.postjobfree.com 781-***-**** Boston, MA LinkedIn GitHub Portfolio

PROFESSIONAL EXPERIENCE

Data Glacier Boston, MA – Data Science intern Mar 2024 - Present

• Deployed a scalable AI and machine learning model on Heroku, boosting user engagement by 31%.

• Executed data analysis using Alteryx, achieving 100% data integrity, reducing model errors by 8%.

• Developed and managed ETL pipelines using Airflow and the AWS cloud platform to maintain data integrity from diverse payers for analysis and predictive purposes

• Built scalable production jobs to ingest data coming from various customer feedback forms for Reporting and Quality Assessment teams

IKEA India Pvt Ltd Mumbai, India - Supply Chain Analyst Jul 2018 - Aug 2022

• Boosted sales by $2.7 million by optimizing stock availability over period of 6 months.

• Leveraged Databricks, SQL queries, and advanced statistics to increase product availability by 9.9%.

• Led weekly Business Meeting /Open Labs for 10+ cross-functional team members.

• Initiated a working group and leveraged communication skills and improve stock accuracy by 22.5% in 4 months.

• Designed data visualization dashboard in Tableau to optimize supply chain efficiency serving 50+ business users.

• Achieved 16% optimization boost by engineering an A/B Testing tool in R to test newly launched campaigns. HiMedia Laboratories Pvt Ltd Mumbai, India - Operations Analyst Aug 2016 - Apr 2018

• Optimized processing time by 4 man-hours per week by managing orders for 50+ clients and inventory of 900+ products.

• Established a quarterly Excel plan analyzing conversion rate and KPIs for 10+ campaigns, refining data-driven budget planning.

• Constructed Power BI dashboards by collaborating with stakeholders to analyze Inventory discrepancies.

• Reduced user churn rate by 18.8% by constructing a quantitative model using bootstrapping and XGBoost. DATA SCIENCE PROJECTS

Bank Telemarketing Success Prediction:

• Achieved a 79% buyer targeting accuracy, potentially reducing marketing cost by 20%.

• Developed an XGBoost model to predict success of bank telemarketing for bank deposits. Analysis of Global online sales using ETL, data warehousing

• Orchestrated complex data warehousing initiative using ETL and merging global online sales and population data.

• Deployed Tableau desktop dashboards for comprehensive visual insights presentation. Semantic Search and Summarization of Movie Plots

• Utilized pre-trained models: Sentence-BERT (SBERT) and FAISS for semantic similarity search.

• Deployed Streamlit for interactive visualization and deployment. SKILLS

Programming Languages: Proficient in Python, R, SQL Machine Learning Skills: Salesforce, Feature selection, Deep learning, Google BigQuery, NoSQL, relational database, project lifecycle, data cleansing, process improvement, data modeling, Microsoft Office Suite, Visio, Advanced Excel, Git version control, data processing, Hadoop, Spark, MLOps, DevOps, Agile, predictive analytics, Scrum, predictive model, Azure ML, Quantitative Analytics, AWS, Qlik View.

EDUCATION

Boston University Boston, MA

Master of Science in Applied Data Analytics May 2024 Graduate Assistant – Boston University Virtual

NIFTEM Haryana, India

MBA – Operations Management May 2016

Shivaji University Maharashtra, India

Bachelor of Engineering – Biotechnology May 2013

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