SAKSHI GUJARATHI

Boston, MA 857-***-**** ad353v@r.postjobfree.com GitHub LinkedIn

EDUCATION

Northeastern University Boston, MA, USA

Master of Science in Data Analytics Engineering May 2024 Courses: Data Management for Analytics, Foundations of Data Analytics, Data Mining, Computation and Visualization, Digital Product Design, Deterministic Operations Research, Project Management, Algorithmic Digital Marketing, Finance Management University of Mumbai Mumbai, MH, India

Bachelors of Electronics Engineering Jun 2022

Courses: Database Management Systems, Management Information Systems, Project Management, Business Ethics, Statistics TECHINICAL SKILLS

PROGRAMMING: Python (NumPy, Pandas, Matplotlib, Plotly, Statsmodels, Scikit-learn, Seaborn, NLTK, Pyviz, Keras, TensorFlow), MySQL, NoSQL(MongoDB), C, HTML/CSS, PHP, R Language, R Shiny, Cypher, PostgreSQL DATABASE FRAMEWORKS: Hive, AWS, Redshift, Alteryx, MySQL Workbench, Snowflake, Informatica, Azure Databricks VISUALIZATION TOOLS: Tableau, PowerBI, Flourish, Datawrapper, Excel (Lookups, Pivot Tables) OTHER SKILLS: A/B Testing, Story Telling, Analytical Thinking, Problem Solving, Statistics, JIRA, Confluence, Trello, Scrum, Agile ACADEMIC PROJECTS

HACKATHON: STRATEGIC SUPPLY CHAIN ANALYSIS FOR ONLINE RETAIL SUCCESS [Link] Boston, MA, USA Computation and Visualization, Northeastern University Jan 2023 - Feb 2023

• Analysed 181k rows of structured and unstructured data across 53 columns to develop impactful Tableau dashboards, with KPIs including Sales and Profits across different Departments, Markets, Regions, and Customer Segments and identified the top-selling products such as Item A(20% of total sales), Item B (15% of total sales), and Item C (10% of total sales)

• Generated valuable insights about Order Status and Shipping Time Comparison across Regions to optimize supply chain operations, enhance delivery performance resulting in 15% increase of total shipped items from 2017 to 2018 REVIEW RADAR: CLOUD DATA INISIGHTS APPLICATION HARNESSING LLMs Boston, MA,USA Algorithmic Digital Marketing, Northeastern University Sept 2022 - Dec 2022

• Leveraged OpenAI’s CLIP model to enhance fashion image retrieval by 30% and deployed a personalized recommendation system with sophisticated NLP capabilities, improving the accuracy of ML models for increased user engagement

• Integrated sentiment analysis into product listings’ reviews and created real-time, user-friendly dashboards using Snowflake and Streamlit for data monitoring and accessibility, enabling trend-driven strategies for the Marketing Team

• Utilized Snowflake for data retrieval and executed SQL queries to extract meaningful insights

• Engineered a streamlined data pipeline from Snowflake to Streamlit incorporating API endpoints for efficient data handling and advanced feature extraction, boosting data processing speed by 30% and improving overall application responsiveness PREDICTIVE INSIGHTS FOR TELECOM CHURN: DRIVING RETENTION AND GROWTH [Link] Boston, MA, USA Data Mining, Northeastern University Jan 2023 - Feb 2023

• Developed a Predictive Churn Model for a telecom firm handling 100k+ rows of sensitive customer data

• Implemented Principal Component Analysis for dimension reduction and feature extraction to thereby capture 80% variance in data

• Analysed and filtered data in multiple batches to evaluate Random Forest, KNN, Logistic Regression, XGBoost, DNN machine learning models and achieved 87% precision, 89% accuracy and 92% recall score while operating on XGBoost classifier

• Evaluated model performance using various metrics including classification reports, confusion matrix, AUC score, and F1- score, achieving an F1-score of 0.90 facilitating growth by offering promotional retention strategies for specific user persona identified by employing K-Means and Hierarchical Clustering algorithms MEDIDAILY: PHARMACY STORE DATA MANAGEMENT AND ANALYSIS [Link] Boston, MA, USA Data Management for Analytics, Northeastern University Nov 2022 - Dec 2022

• Facilitated collaboration with team members to design, map and model relationships between 20+ database tables using conceptual EER, UML and normalization techniques to store and analyse client purchasing habits

• Aided informed decision making by assessing orders, ratings and revenue generated to find products leading in sales by querying in SQL and MongoDB to visualize sales, date of expiry and employee data to optimize supply at stores and warehouses as per the seasonal demand

EXPERIENCE

BOUVE COLLEGE OF HEALTH SCIENCES, NORTHEASTERN UNIVERSITY Boston, MA, USA Graduate Teaching Assistant: Public Health Policy and Analytics; Database Management System Sept 2023 - Present

• Supervised two sections for two professors facilitating grading of assignments, conducting TA hours to teach SQL and help perform comprehensive data analysis using CDC YRBSS tools to develop data-driven policy recommendations while adhering to APA style

• Coordinated with faulty to develop and implement strategies for optimizing course content to enhance learning outcomes ETISALAT (DOMAIN: TELECOM) Mumbai, MH, India

Engineering Intern Feb 2020 - Apr 2020

• Performed debugging & testing to deliver technical solutions in low CHT to elevate Customer Support Process & customer satisfaction

• Collaborated with cross-functional teams to gather and analyze business requirements to maintain detailed technical documentations for system improvements and troubleshooting on SharePoint BENNETT COLEMAN & CO, THE TIMES GROUP (DOMAIN: MEDIA) Mumbai, MH, India Sales and Marketing Intern Jan 2019 - Mar 2019

• Analysed data for key clients & captured trends impacting the growth of retention rate against the switch over to competition by 15%

• Generated 30 leads monthly through Salesforce CRM, spearheaded a team to work with the Marketing Managers from 70+ companies to gain new clients and strategically re-position the brand resulting in boosting of sales by 20%

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