Data Analyst Machine Learning

Shobhit Diggikar ********@***.***

**** * ******** ** ***** AZ +1-480-***-**** www.linkedin.com/in/shobhitdiggikar/ EDUCATION

W. P. Carey School of Business, Arizona State University August 2023 – May 2024 Master of Science - Business Analytics Tempe, AZ

• Relevant Coursework: Enterprise Data Analytics, Descriptive and Predictive Analytics, Python for Data Analysis, Data Mining, Machine Learning, Business Process Analysis, Analytical Decision Modeling. Savitribai Phule Pune University August 2017 – April 2022 Bachelor of Engineering- Mechanical Engineering Pune, India PROFESSIONAL EXPERIENCE

Data Analyst (Capstone Project) January 2024 – May 2024 Upgrade, Inc. Phoenix, Arizona

• Developed a Tableau dashboard for 3 key performance indicators (KPIs), improving goal-setting accuracy by 25%.

• Automated, goal suggestion dashboard for supervisors using Tableau, reducing manual testing efforts and lowering testing time by 50% leading to an increased coverage by 30% of ramping employees.

• Analyzed additional performance metrics using regression analysis, expanding the set of performance metrics from 3 to 6, and incorporating new evaluation criteria.

• Translated stakeholders' requirements for application frameworks, resulting in a 20% improvement in the alignment of technical solutions with business needs and OKRs.

• Introduced dynamic goals that account for seasonal volume changes, boosting revenue by 10%. Senior Data Analyst June 2022 – July 2023

Ezenith Pvt. Ltd Pune, India

• Conducted data analysis on product performance metrics, leading to a 40% efficiency increase and a 25% cost reduction in new product development.

• Developed SQL database queries for extracting data from 50,000+ test records, reducing query time by 35%.

• Performed statistical analysis using Python and R, guiding strategic decision-making in product development.

• Created Tableau dashboards to visualize complex performance and emissions data, increasing stakeholder engagement by 45% and reducing report generation time by 70%.

• Implemented automated data processes, reducing manual entry by 60% and improving accuracy by 30%.

• Collaborated with cross-functional teams for KPI setting and data-driven strategies, helping the project achieve 2nd place among 10 competing teams.

PROJECT EXPERIENCE

Sentiment Analysis of Reviews January 2024 – March 2024

• Analyzed a dataset of over 20,000 Yelp reviews to assess COVID-19's impact on dining trends, showcasing expertise in EDA and NLP sentiment analysis, revealing significant attitude shifts, and informing strategy adjustments.

• Applied advanced techniques like BERT for topic modeling on thousands of reviews, demonstrating proficiency in Artificial Intelligence and machine learning for actionable business insights and strategy formulation. Company Bankruptcy Prediction November 2023 – December 2023

• Defined 12 key performance indicators from 95 features, optimized SQL queries, reducing processing time by 50%.

• Reduced the risk of bankruptcy by 25% by utilizing advanced statistical techniques and machine learning models like XGBoost, and Random Forest to build a predictive model contributing to a 15% improvement in forecasting precision. Employee Attrition Prediction October 2023 – November 2023

• Implemented predictive models for employee attrition, enhancing accuracy by 15% with SMOTE for class balance.

• Leveraged Tableau for clear visualization of model outcomes, aiding decision-making. SKILLS & ACTIVITIES

• Technical Skills: Python(NumPy, Pandas, TensorFlow, PyTorch, Keras, SciPy, Matplotlib, Scikit-learn), R, SQL, SAS, Excel(pivot tables, Lookups, data analysis tools), SAP, Tableau, Power BI, Jira, Visio, VBA Macros, ETL, Data Cleaning, Data Analysis, Advanced Analytics, Data Mining, Data Visualization, Data modeling, Statistics, API, Kafka, Azure, AWS (Redshift, SageMaker, S3, EC2), Minitab, Hadoop.

• Soft skills: Communication skills, Time Management, Project Management, Presentation, Data Storytelling, Business Strategy, Team player, Stakeholder analysis, Business Intelligence

• Interests: Reading, Calligraphy, Cooking, Playing Guitar, Painting. Cross-functional compliance Salesforce testing database

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