About
I am a Data Science Professional with expertise in Data Analysis, Machine Learning, Financial Analysis, Marketing Analysis, and Healthcare Data Analysis. I am actively seeking a full-time opportunity.
I have a keen interest in Data Visualization and am passionate about Business Consulting.
I am an avid learner who enjoys discovering something new each day. I love to code and am deeply engaged in it. Learn More
Basic Information
Phone:
Address:
United States
Open for relocation anywhere in US.
(No Relocation assistance required)
Open for relocation anywhere in US.
(No Relocation assistance required)
Language:
English, Hindi, Korean(Intermediate)
Professional Skills
Web Development
95%
App Development
85%
Competitive Coding
80%
Hardware Design
80%
Machine Learning
85%
Product Development
80%
Business Management
80%
Economic and Financial Skills
85%
Travelling
85%
Philosophy
80%
Education
-
Master's Degree 2022 - 2024M. Of Global Management, Data Science (3.9/4)
Thunderbird School of Global Management, Phoenix. -
Master's Degree 2021 - 2022MBA, Marketing Analytics (4.25/4.5)
Solbridge Internation School of Business, Seoul. -
Bachelors's Degree 2015 - 2019B. Eng, Computer (8 /10)
MES College of Engineering, Pune
Experience
Corporate Experience
-
Scale AI, San Francisco
Data Scientist Feb, 2024 - Present
(Freelancing/Contract) -
Arizona State University, Phoenix
Research Data Analyst Feb, 2024 - PresentCisco, Raleigh
Graduate Consultant Oct, 2023 - Nov, 2023Onsite ProjectNorsk Hydro, Phoenix
Intern May, 2023 - Aug, 2023Data Science InternInfosys, Pune
System Engineer / Data Analyst Aug, 2020 - Aug, 2021Worked for CVS HealthcareCrown Pipes, Pune
Business Intelligence Analyst. Aug, 2019 - July, 2020BA for Pipe Manufacturing CompanyPosition Of Responsibilities-
Starbucks, Phoenix
Cafe Supervisor Sept 2022 - Dec, 2023Oncampus Student Worker -
OGQ Corp, Seoul
NFT Analyst May, 2022 - Aug, 2022Korea's first NFT Project -
Hello DD, Daejeon
Global Ambassador Jan, 2022 - May, 2022Korea's No.1 Science Magazine
InternshipsOct 2023 - Nov 2023
Winter InternshipGHG Data Grad. ConsultantCisco, Raleigh
- Led a team to assess and calculate Cisco’s teleworking emissions, supporting the company’s commitment to reducing carbon emissions and achieving net zero by 2040.
- Developed a comprehensive Excel tool for automating the collection and analysis of greenhouse gas (GHG) data, improving the accuracy of emission tracking and reporting by 30%.
- Presented findings and data-driven recommendations to Cisco’s sustainability team, resulting in the adoption of new strategies to reduce Scope 3 emissions by optimizing remote work policies.
May 2023 - Aug 2023
Summer InternshipData Science InternHydro Extrusions, Phoenix
- Applied machine learning algorithms to forecast demand trends, optimizing production scheduling and inventory levels to reduce excess stock by 20%.
- Utilized Power BI to create dynamic dashboards and data visualizations, providing real-time insights into supply chain performance, inventory management, and demand forecasting.
- Developed and implemented data models to optimize supply chain operations, leading to a 15% reduction in logistics costs by identifying bottlenecks and optimizing delivery routes.
Major ProjectsJuly, 2024 - Aug, 2024
Mlops ProjectHouse Rental PredictionsArizona State University
- Built and deployed a house rental prediction model using AWS services, automating the entire ML pipeline from data preprocessing to model deployment.
- Leveraged AWS S3, Lambda, SageMaker, and CloudWatch for data storage, model training, deployment, and monitoring, ensuring a fully scalable and efficient pipeline.
May, 2024 - June, 2024
ML ProjectFake News Detection Using Machine Learning- Cleaned and preprocessed text data, improving model accuracy by removing special characters, URLs, and punctuation.
- Built a fake news detection model using TF-IDF and trained models like Logistic Regression and Random Forests to classify news articles.
- Evaluated models with accuracy, precision, recall, and F1-score, and added a feature for manual testing on real-world articles.
Feb 2024 - Mar 2024
Data Analysis using SQL & PythonQuantitative Marketing Analyst ProjectCarvana: Automotive retailer in the U.S
- Processed and linked datasets (Click Data, Lock Data, Sale Data, Spend Data, Ad Channels) to evaluate first-touch attribution, identifying key metrics and channel efficiency.
- Analyzed marketing data to attribute user actions to marketing channels, calculating CPC, CAC, and ROI to assess channel performance and inform future strategy.
Dec 2023 - Jan 2024
Power BI ProjectTop 50 Songs on Spotify 2019 Dashboard- Created an interactive Power BI dashboard to visualize the Top 50 Spotify songs of 2019, highlighting trends in genre, BPM, and energy levels.
- Utilized the dataset from Kaggle to display metrics such as danceability, loudness, and valence, providing insights into music trends and song characteristics.
March 2022
Tableau ProjectSouth Korea's Suicide Rate by District and CitySolbridge International School of Business Competition
- Developed an interactive Tableau dashboard to visualize and analyze suicide rates by city and county across South Korea, providing insights into regional disparities.
- Won the SolBridge Data Analysis Competition for this project, showcasing the dashboard's effectiveness in presenting critical data insights.
<Course ProjectsDec, 2022
R Programming ProjectClustering AnalysisProf. Wohlfarth Paul
- Used K-Means Clustering in R to segment mall customers by spending and demographics for targeted marketing.
- Visualized the clusters using ggplot2, enabling clear identification of patterns such as high-spending customers and those with varying purchasing frequencies for more effective business decisions.
Jan,2019 - May, 2019
IOT ProjectSmart Mirror Using Raspberry PiProf. Salma Pathan
- Built a Smart Mirror using a Raspberry Pi, displaying real-time information such as weather, time, calendar, and news updates via a reflective display.
- Designed the interface using Python and MagicMirror² framework, creating a sleek, functional home automation solution.
Sept, 2021 - Dec, 2021
HCM ConsultantDonghwar Corp. ProjectProf. Dong Kyu
- Assisted Donghwa Corp in evaluating and selecting the most suitable Human Capital Management (HCM) system, comparing Workday, SAP, and Oracle based on company requirements.
- Conducted a detailed analysis of each platform's features, cost, and scalability to align with Donghwa's HR goals, including employee management, payroll, and talent acquisition.
Travel Diaries
Rest Will Be Up Soon !!!
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