Summary
Overview
Work History
Education
Skills
Accomplishments
Additional Information
LEADERSHIP
Timeline
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SHUBHAM MADKE

SHUBHAM MADKE

Data Analyst/ Data Scientist
Chicago,IL

Summary

Results-driven Data Analyst with 4 years of experience. Skilled in data manipulation, statistical analysis, and visualization. Expertise in Python, SQL, and developing automated data pipelines. Strong communicator and collaborator. Passionate about data-driven decision-making and continuous learning.

Overview

5
5
years of professional experience
2
2
years of post-secondary education

Work History

FSO Data Analyst Tech Consultant

Ernst and Young
Chicago, IL
01.2022 - Current
  • Collaborated with cross-functional teams using scrum and agile methods to understand business requirements and translate them into actionable data science solutions, resulting in a 20% increase in efficiency and a 15% reduction in project delivery time
  • Managed a large unstructured document repository, implementing a structured data model using SQL and Jupyter Notebook, leading to a 30% improvement in data accessibility and retrieval
  • Provided data-driven decision-making support to the client regarding highly complex and sensitive customer remediation issues
  • Conducted advanced data acquisition, data quality checks, and migration, resulting in a 25% reduction in customer complaints and a 10% increase in customer satisfaction
  • Designed a robust model risk governance framework, ensuring operational, regulatory, inventory, and model risk control for machine-learning based risk models, This framework improved compliance by 15% and reduced potential model risks by 20%
  • Utilized advanced natural language processing techniques to analyze customer feedback and sentiment, providing actionable insights for product improvement, These insights led to a 12% increase in customer retention and an 8% boost in overall product ratings.

Quality Control Data Analyst

Digby’s DSA
Chicago, IL
08.2020 - 01.2022
  • Designed and implemented optimized statistical analysis models and data pipelines in Python, utilizing the data warehouse technique Pentaho, resulting in an 83% increase in accuracy for trend analysis by the operations team
  • Trained Artificial Intelligence algorithms, including Decision Trees, Support Vector Machines, and Neural Networks, on the Track-Tik database and created comprehensive reports using analytical tools, leading to a significant increase in hiring decision accuracy, with up to 90% improvement
  • Conducted competitive business analytics by performing SWOT analysis on lead competitors in the market, Utilized a quantitative problem-solving approach and analyzed the impact, resulting in a 20% increase in operational performance
  • Effectively communicated complex technical concepts and analytical findings to non-technical stakeholders and facilitated informed decision-making through business/report writing and gathering insights using comprehensive analysis for the audit team
  • Applied supervised machine learning algorithms such as Scikit-learn, PyTorch, TensorFlow, and XGBoost to build predictive models, These models enabled data-driven decision-making for the Operations and Onboarding teams, driving operational efficiency and performance improvements.

Business Data Scientist

Corpin Investments and Financial Securities
Mumbai, IN
06.2018 - 07.2019
  • Developed a Stock and Insurance Recommendation tool using Python and MS Excel, leveraging the company's client data and client's insurance portfolio, The tool achieved an impressive accuracy rate of 89% in providing better share value recommendations
  • Built a robust data reporting infrastructure using Tableau and Google Charts, enabling real-time insights into service performance, marketing funnels, and key business KPIs, This improvement led to a 15% enhancement in stock selection for specific clients
  • Implemented effective data cleaning and preprocessing techniques using Python and Pandas, resulting in a notable 20% improvement in data quality and reliability
  • Conducted comprehensive statistical analysis and hypothesis testing to support strategic decision-making
  • These efforts contributed to a 10% increase in operational efficiency for the organization
  • Collaborated closely with an Agile team to optimize the product, identify and mitigate bot traffic and social media advertising, This initiative resulted in a significant 25% increase in website traffic, Utilized SQL and Python to categorize the website traffic accurately.

Education

Master’s - Data Analytics & Management

Illinois Institute of Technology
08.2019 - 05.2021

Skills

    Programming/ Scripting Languages: Python, R Studio, ANOVA, DAX, M query, Power Query, Pivot Tables

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Accomplishments

  • Certifications: AWS Data Analysis, Tableau Analyst, IBM Machine Learning, Stanford ML, HackerRank Gold SQL, Adobe Certified (AEP, Analytics, RT-CDP, Marketo), LinkedIn (Python, SQL, Text Analytics, Artificial Intelligence

Additional Information

• Multiple Disease Healthcare Analytics - Python, Excel, Tableau

Diagnosed features through hyper-parameter tuning with in-built statistical models such as Decision Trees, Random Forest, SVM, Neural Networks, Bagging methods with 96% Accuracy and deployment over Stream-lit web-app.

• Visualization Voice Assistant – PyCharm, Visual Code Studio

Developed a Voice Assistant to identify your voice using libraries such as Speech Recognition, pywhatkit, and pyttsx3 and identify the trends of a dataset that you ask and visualize them using matplotlib and pyplot.

• Analysis in Financial Services – R, Python, Excel

Analyzed of a company’s loan application by data mapping, it will decide for loan approval based on the applicant’s profile and background. Visualized various trends such as Boxplot, Histogram, Heat-map, Pie charts using libraries such as ggplot, dplyr, tidyxl.

• Supply Chain Analysis - PyCharm, Pentaho for ETL

Performed predictive algorithms over dataset to forecast future demand, prices of products with 88% Accuracy, built a data mapping using python ETL concept, used precision & recall metrics.

LEADERSHIP

President, ITM Organization (IIT Chicago) – Led a team of 20 students to collaborate with technology experts to create total of 8. workshops, and hackathons in Data Science and Cyber Security that gathered a combined 1000+ attendees 

Timeline

FSO Data Analyst Tech Consultant

Ernst and Young
01.2022 - Current

Quality Control Data Analyst

Digby’s DSA
08.2020 - 01.2022

Master’s - Data Analytics & Management

Illinois Institute of Technology
08.2019 - 05.2021

Business Data Scientist

Corpin Investments and Financial Securities
06.2018 - 07.2019
SHUBHAM MADKEData Analyst/ Data Scientist