Machine Learning Data Analyst

POOJA SURESH KADAM

********@**.*** +1-781-***-**** Boston, MA http://www.linkedin.com/in/poojasureshkadam https://github.com/PoojaKad19 https://www.datascienceportfol.io/poojakadam PROFESSIONAL WORK EXPERIENCE

Data Analyst - Unique System Skills Inc Boston, MA Aug 2024 - Present Engineered machine learning models and interactive visualizations using Python (Scikit-Learn, Pandas) and Power BI, driving a 12% increase in sales through actionable customer insights.

- Developed predictive analytics models to analyze customer behavior and purchasing patterns, leveraging clustering and regression techniques (Linear regression and Time series Forecasting) for trend identification.

- Deployed optimized machine learning models on AWS (SageMaker, Lambda, EC2) for scalable inference, enabling real- time customer segmentation and predictive analytics.

- Enabled data-driven decision-making and targeted marketing strategies by uncovering key customer segments and behavioral trends.

Designed Tableau dashboard to optimize operati onal efficiency, serving 50+ business users.

- Designed an intuitive Tableau dashboard to optimize operational efficiency by integrating data from multiple sources using SQL and visualizing key performance metrics.

- Automated manual reporting processes and providing real-time insights, enabling users to quickly identify inefficiencies and implement data-driven process improvements.

Data Science Intern - Data Glacier Boston, MA Mar 2024 - Aug 2024 Deployed a scalable AI and machine learning model on Google Cloud Platform, boosting user engagement by 31%.

- leveraged Google Cloud Platform’s robust infrastructure to handle large datasets and real-time processing.

- Boost in user engagement delivered more accurate predictions and personalized experiences. Led a data-driven research initiative on the impact of noise pollution on heart health, leveraging Pandas Python Library for large-scale data analysis.

- Designed and implemented time series models to forecast city-wide noise levels using geo-spatial data, enhancing predictive accuracy.

- Improved predictive performance by 25% by adopting an A-weighted model over a low-frequency approach, optimizing noise impact assessments.

Research Assistant - Boston University Boston, MA Sep 2023 - May 2024 Researched deep learning techniques for medical imaging, specializing in knee MRI synthesis to improve bone marrow lesion detection accuracy

- Designed and fine-tuned GAN-based models, including cGANs, CycleGAN, and Progressive Growing GANs (PGGAN), to generate high-resolution synthetic MRI scans, addressing data scarcity issues in medical imaging.

- Integrated these synthetic images into training pipelines for segmentation and detection models, improving lesion identification accuracy by 25%.

Teaching Assistant for Foundations of Machine Learning- Boston University Boston, MA Sep 2023 - Dec 2023

- Provided mentorship and technical support to students on machine learning projects, assisting with problem-solving, code implementation, statistical analysis, probability, and R programming to ensure successful project execution.

- Conducted regular office hours, offering personalized guidance, clarification, and hands-on assistance to enhance students' understanding and project outcomes.

Student Data Analyst - Boston University Boston, MA Sep 2022 – Dec 2023 Managed Blackboard course components, optimizing student experience via conditional availability.

- Enhanced engagement through survey analysis, boosting satisfaction by 25%, and automated processes to cut manual tasks by 30%.

- Implemented Power BI to develop dashboards, to convey survey analysis findings, facilitating seamless communication with stakeholders for informed decision-making thereby increasing productivity by 20%.

- Developed and executed a Python script automating alt text generation for images, achieving an outstanding 70% approval rate, enhancing web accessibility, and fostering inclusivity for visually impaired individuals.

- Collaborated with learning designers to craft engaging content, utilizing tools like Blackboard, Asana, and SharePoint. Ensured quality through rigorous QA checks.

Supply chain Analyst - IKEA India Pvt Ltd Mumbai, India Jul 2018 - Aug 2022 Boosted sales by $2.7 million by understanding data and optimizing stock availability over a period of 6 months.

- Focused on ensuring product availability at the right time and place to meet customer needs.

- This data-driven approach significantly increased sales by improving stock management and reducing out-of-stock situations.

Leveraged Databricks, SQL queries, manipulate data and advanced analytics to increase product availability by 9.9%.

- This approach led to a 9.9% increase in product availability by improving forecasting accuracy and minimizing stockouts.

- The result was a more efficient supply chain that better met customer demand. Led weekly Business Meeting for discussing data insights with 10 cross-functional managers.

- These meetings focused on aligning business strategies with actionable insights derived from data analytics.

- By ensuring all stakeholders understood the data, facilitated better decision-making and helped guide project direction. Engineered an A/B Testing tool in R to test newly launched campaigns, yielding a 15% optimization boost.

- Engineered an A/B testing tool in R using statistical methods like hypothesis testing and p-value analysis to evaluate the performance of newly launched marketing campaigns.

- By testing different strategies and analyzing the results with R's built-in packages like dplyr and ggplot2, identified the most effective approaches, resulting in a 15% optimization boost. Operations Analyst - HiMedia Laboratories Pvt Ltd Mumbai, India Aug 2016 - Apr 2018 Built Power BI dashboards to track performance and inventory discrepancies, collaborating with analysts and stakeholders to manage customer returns.

- Built Power BI dashboards by connecting multiple data sources, such as sales and inventory systems, to track performance metrics and identify inventory discrepancies.

- Collaborated with analysts and managers to ensure the dashboards addressed key business needs and enabled real- time monitoring of customer returns and stock levels.

- Using Power BI’s DAX functions and visualizations, the dashboards provided actionable insights that facilitated proactive inventory management.

Developed SQL queries for ETL processes, achieving data accuracy and consistency across 20+ reports.

- Developed SQL queries for ETL (Extract, Transform, Load) processes, optimizing the extraction and transformation of raw data into structured, consistent datasets across 20+ reports.

- Ensured data accuracy by applying validation checks and transformations within SQL scripts and automated the reporting process using stored procedures.

- This resulted in improved consistency and reliability in the data, enhancing the overall reporting framework and reducing manual errors.

PROJECTS

AI-Based Sales Forecasting Model

• Developed a predictive model for quarterly sales, achieving 95% accuracy and improving planning efficiency by 20%.

• Employed Python and SQL for data preparation, with features enhancing decision support by 25%. Bank Telemarketing Success Prediction:

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

• Developed an XGBoost model via programming 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. EDUCATION

● Master of Science, Applied Data Analytics

Boston University, MA

- Relevant coursework: Advanced Machine Learning and Neural Networks, Computational Maths for Machine Learning, Analysis of Algorithms, Data Mining, Data Structures and Algorithms, Web Mining and Graph Analytics, Designing and Implementing a Data Warehouse

● MBA, Operations Management

National Institute of Food Technology, Entrepreneurship and Management, Haryana, India

- Relevant coursework: Strategic Business Management, Production and Operations Management, Inventory Management, Scheduling and Forecasting, New Product Development, Research Methodology

● Bachelor of Engineering

Shivaji University, Maharashtra, India

SKILLS

Technical Skills & programming languages: Python, SQL, R, Machine Learning, Deep Learning, Statistics, Natural Language Processing (NLP), Neural Networks, Feature Engineering, computer science, Data Preprocessing, data visualization Machine Learning Techniques: Supervised Learning, Unsupervised Learning, Classification, Clustering, Regression, Model Selection, Cross-Validation, Model Evaluation Metrics, quantitative analysis Libraries and Frameworks: Scikit-Learn, TensorFlow, PyTorch, Keras, NLTK, XGBoost, LightGBM Tools & Technologies: Google Cloud Platform, MS Azure, MS office, google sheets, pivot tables, NoSQL, Git version control, Git, AWS Sagemaker, Databricks, Docker, Kubernetes, Data Studio, Looker, Tableau, PowerBI, Agile Soft Skills: Problem-Solving, attention to detail, Critical Thinking, Team Leadership, Client Communication, Data Storytelling

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