JENNY PATEL

Boston, MA 857-***-**** ad3u0a@r.postjobfree.com linkedin.com/jennypatel01

EDUCATION

Master of Science in Engineering Management Northeastern University Boston, MA Expected May 2025 Relevant Courses: Probability and Statistics, Data Management and Design, Computation & Visualization Bachelor’s of Engineering in Computer Science Gujarat Technological University India Sep 2019 – May 2023 Relevant Courses: Supply Chain Analytics, Structured Data Analysis TECHNICAL SKILLS

Programming Languages : Python (Expert), SQL (Expert), R, PowerShell, VBA, DAX Database Technologies : RDBMS, NoSQL, My SQL, Oracle, Hadoop, Snowflake Python Libraries : Pandas, Matplotlib, Seaborn, Sci-kit Learn, Keras, TensorFlow, PyTorch ML Frameworks : Arima, CNN, ETS, KNN, NLP, LSTM, Regression, A/B, EDA, SVM, Clustering Data & Visualizations Tools : Tableau, Power BI, Qlik, Informatics, Alteryx, Databricks, Azure IDE & Tools : Git, Docker, Kubernetes, Anaconda, Microsoft Office, PowerPoint, SharePoint Certifications : Lean Six Sigma (Black Belt), Google Analytics, Microsoft Data Analytics Fundamental PROFESSIONAL EXPERIENCE

Data Science and ML Intern Enlightened Infosystems Vadodara, India Jan 2023 – Jul 2023

• Performed EDA on yearly software sales to extract insights into the company's past 10 years of business strategies

• Reduced granularity of calculation in the dashboard by lowering marks by 780, optimizing it by 33%

• Executed Regression and SVM analysis on sales data, implemented cost models to predict quarterly business trends

• Automated ML Algorithms by spearheading predictive ML models to train and predict data from the input database

• Coordinated with a team of 4 members to report data-driven business analytics, pivotal for quarterly financial closure

• Incorporated clustering algorithms for customer segmentation and driving targeted marketing strategies, elevating customer acquisition rate by 15%

Data Analytics Intern AIESEC Vadodara, India Aug 2021 – Feb 2022

• Worked in a team of 3 associates to structure and analyze volunteers’ and interns’ data using SQL for 6 months

• Raised productivity by 15% of the people management department through systematic relational database tracking and management of incoming and outgoing volunteers using VBA in Excel

• Leveraged data visualization strategies for engaging stakeholder presentations by contributing to ideation sessions

• Devised Power BI Dashboard to visualize key performance matrix of interns, leading to a 25% reduction in efforts

• Drafted ad-hoc reports regarding arrangements for fortnightly team meetings, enhancing decision-making time

• Collaborated with cross-functional teams to streamline various operation processes, reducing manual efforts by 33%

• Maintained International Relations by organizing quarterly meetings with AIESEC in Sweden and Sri Lanka PROJECTS

Real Time News Classification Python, LSTM NN, Seaborn

• Executed a deep learning model to detect fake news using LSTM neural network, visuals with Seaborn library

• Pre-processed data of news article with Lemmatizer & word vectorization, input training with vector embedding Sales Performance Analysis Dashboard SQL, Power BI, Data Visualization

• Developed a detailed sales dashboard using SQL queries to analyze performance by product categories and regions

• Integrated data from various sources including transactional databases for a comprehensive overview of sales metrics

• Utilized Power BI to visualize key performance indicators (KPIs) like revenue, profit margins, and sales trends, enabling data-driven decision-making for sales optimization Automated Data Analysis and ML Tool ARIMA, Flask, Clustering, Classification

• Developed an automated Web App utilizing ML Algorithms to test and train dynamic datasets provided by the user

• Crafted an intuitive interface using Flask featuring a dedicated column for non-technical users, enabling easy execution of classification and clustering algorithms with minimal effort. CO-CURRICULAR ACTIVITIES

• Teaching Assistant (Data Analytics using Excel): Tutored 450 students, adeptly elucidating detailed subject concepts

• Event Manager at YEF(NGO): Orchestrated a World Café rallying 200 individuals, successfully raising $1000 in funds

• Data Analytics Engineering Student Organization at Northeastern university, curation team member.