Machine Learning Data Analyst

SNEHAL SUGANDH KAMBLE

Fremont, CA

+1-630-***-**** ***********@*****.*** https://github.com/snehalk0996 https://github.com/snehalk0996 SUMMARY

Motivated Data Scientist with extensive experience in analytics, machine learning, and predictive modeling, adept at leveraging statistical software and programming languages such as Python, SQL, and R to solve complex problems. Experienced in developing data-driven strategies at startup and reality TV environments, creating impactful solutions for data optimization and decision support. Enthusiastic about applying state-of-the-art algorithms and fostering stakeholder relations to enhance Amazon's Global Logistics processes. TECHNICAL SKILLS

• Programming Languages: SQL, Python, R

• Generative AI & Deep Learning Models: GPT-4, GPT, CNNs, RNNs

• Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning

• IDE and Text Editors: Jupyter Notebooks, PyCharm, Visual Studio Code

• Tools & Technologies: Pandas, NumPy, Hadoop, Hive, Spark

• Analytics & Data Science: Data Analysis, Statistical Packages, Business Intelligence Tools, Data-driven Decision Making EXPERIENCE AND PROJECTS

E Magazine Startup Mar 2024 - Present

• Led 'E Magazine,' integrating FastAPI, JSON, and BeautifulSoup for sustainable living content delivery, while optimizing backend data management and user-centric performance for enhanced insights.

• Engineered a Python-based algorithm for eco-friendly product rankings, generating proactive user recommendations through data-driven perspectives.

• Conducted web scraping and analysis for sustainability data, yielding interpretable visual insights.

• Collaborated with a multidisciplinary team to merge data-centric projects into a unified web application, reinforcing data wrangling capabilities and effective project management strategies. Big Teeth Reality TV Dec 2023 - Dec 2023

• Architected a robust and scalable database system, enhancing accuracy with a carefully structured 23-table architecture and managed complex data relationships through efficient entity relationship diagrams.

• Developed over 50 tailored SQL queries to elevate database reporting accuracy and functionality.

• Led the rollout of innovative data input solutions, enhancing data processing efficiency by 60%, improving productivity, and reducing operational costs by 25%.

Credit Card Data Analysis Oct 2023 - Oct 2023

• Utilized advanced data analysis and hierarchical clustering in Python to identify high-risk credit card clients, significantly improving customer segmentation, retention strategies, and overall financial performance for the company.

• Deployed machine learning techniques for the formulation of tailored retention and rewards programs, significantly enhancing customer loyalty and satisfaction, while driving increased engagement and maximizing overall revenue growth.

• Applied machine learning algorithms to drive significant improvements in customer acquisition and satisfaction metrics, reinforcing client relationships and business growth, and achieving a notable increase in conversion rates. Diamond Data Analysis Sep 2023 - Sep 2023

• Revolutionized diamond pricing strategies by implementing a data-driven predictive analytics model, analyzing historical sales, market trends, customer preferences and setting new industry benchmarks for profitability and market competitiveness.

• Revised physical attribute data for 100+ diamond types, significantly enhancing mining company yield and efficiency.

• Applied linear regression models to forecast diamond prices, achieving an 18% improvement in forecast reliability and precision. Amazon Customer Service Associate Aug 2022 - Feb 2023

• Increased customer satisfaction rates by 15% over six months through the implementation of forward-thinking strategies.

• Assisted an average of 150+ customers per day, maintaining satisfaction rate by providing timely and positive support.

• Managed 200+ daily customer interactions through chats and emails, resolving inquiries regarding products and services. S B Hospital and Healthcare Pvt Ltd Quality Engineer Jan 2022 - Apr 2022

• Engineered automated infrastructure monitoring system for existing sites, resulting in a 40% decrease in downtime.

• Accelerated construction project timelines through the innovation of Python-based automated bar bending schedules.

• Calculated excavation for over 10 projects, improving cost estimation accuracy using Python algorithms and techniques.

• Dramatically boosted material compliance and slashed waste via stringent, results-driven quality testing initiatives. EDUCATION

University of the Pacific, San Francisco, California, USA Aug 2023 - May 2025 MS, Data Science

• Coursework: Advanced Machine Learning, Natural Language Processing, Relational Databases & SQL, Frequentist & Bayesian Statistics, Data Wrangling, Analytics Computing & Storytelling, Data analysis, Data Engineering, Healthcare Case Studies, Customer Analytics, Security Analytics, Legal Analytics

University of Mumbai, Maharashtra, India Bachelor of Engineering Jun 2014 - May 2018

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