Python
Surbhi Sharma
Data Scientist
Johannesburg,GP
Summary
Developed robust analytical and problem-solving skills in data-intensive environment, focusing on extracting actionable insights from complex datasets. Demonstrates expertise in statistical analysis, machine learning, and data visualization for effective decision-making. Seeking to transition into new field, bringing data-driven approach and commitment to innovative solutions. Professional data scientist with strong background in statistical analysis, machine learning, and data visualization. Skilled in Python, R, SQL, and various data processing tools, with focus on delivering actionable insights. Known for collaborative approach, adaptability, and consistently achieving impactful results in dynamic environments. Recognized for problem-solving abilities and innovative thinking in leveraging data to drive business decisions.
Overview
9
9
years of professional experience
3
3
Certifications
4
4
Language
Work History
Data Analyst
African Bank
06.2018 - 03.2020
- Assisted in gathering, analyzing, and presenting data related to customer behavior, sales trends, and market insights, contributing to a 7% increase in annual sales
- Created data visualizations in Excel and Tableau to present findings to stakeholders
- Supported data preparation for predictive modeling and forecasting using statistical techniques
- Developed and maintained SQL scripts to streamline data extraction processes from relational databases
- Cleaned and validated large datasets, ensuring data accuracy and consistency across projects
- Strengthened internal data governance practices by helping to develop and implement policies related to data storage, access, and retention.
- Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
Marketing Data Management
TCS
01.2016 - 05.2018
- Build a data model for financial risk analytics, integrating historical price data and macroeconomic indicators
- Extract, clean, and analyze financial market data in real-time
- Implemented an ETL in Python and SQL to aggregate and process data from multiple sources, and developed visualization dashboards in Power BI to monitor risk metrics
- Reduced data redundancy by consolidating disparate data sources into a single platform.
- Developed comprehensive documentation, enabling smoother knowledge transfer between team members.
Data Analyst Intern
TCS
08.2015 - 12.2015
- Provided support in data analysis for product launches, identifying key trends that helped in targeting customers more effectively
- Conducted competitor analysis and market research to inform pricing strategies
- Assisted in the creation of weekly and monthly reports for senior management, reducing report generation time by 20%
- Assisted management in making informed decisions by presenting clear and concise reports detailing analytical findings.
- Optimized SQL queries for faster processing times, increasing overall productivity within the team.
Data Scientist
Liberty Life
03.2020 - 09.2024
- Collect, analyze, and interpret complex datasets to inform strategic business decisions, leading to a 10% increase in revenue within the first year
- Design and maintain dashboards in Tableau and Power BI for real-time reporting of business performance metrics
- Designed, developed, and deployed predictive models using machine learning algorithms, resulting in a 15% improvement in customer churn prediction accuracy.
- Performed extensive data wrangling and feature engineering on large datasets using Python (Pandas, NumPy) and SQL.
- Built and optimized machine learning pipelines using Scikit-learn and TensorFlow for real-time forecasting and anomaly detection.
- Developed dynamic dashboards in Tableau and Power BI to visualize business KPIs, improving decision-making efficiency across teams.
- Conducted A/B testing for product features, providing actionable insights that increased user engagement by 18%.
- Partnered with cross-functional teams to identify and translate business problems into data-driven solutions, delivering a 12% increase in operational efficiency.
- Automated ETL processes to streamline data pipelines using Python and Apache Airflow, reducing data processing time by 40%.
- Applied advanced statistical techniques (regression analysis, hypothesis testing) to uncover trends and optimize marketing strategies.
- Led a team of 3 data analysts, mentoring them on data science best practices and advanced analytics tools.
- Presented data-driven insights to C-level stakeholders, resulting in the successful execution of key strategic initiatives.
Education
Bachelor of Information and Communication Technology - Data Mining, Statistical Modeling, Database Management, Machine Learning
Sastra University
Skills
Python
Certification
Tableau Desktop Specialist
Additional Information
Volunteer at Data for Good, helping non-profits leverage data for impactful decision-making., Guest speaker at local data science meetups and conferences.
Software
Mysql
PowerBI
Advance excel
Tableau
R
Timeline
Data Scientist
Liberty Life
03.2020 - 09.2024
Data Analyst
African Bank
06.2018 - 03.2020
Marketing Data Management
TCS
01.2016 - 05.2018
Data Analyst Intern
TCS
08.2015 - 12.2015
Bachelor of Information and Communication Technology - Data Mining, Statistical Modeling, Database Management, Machine Learning
Sastra University
Similar Profiles
Matlou Pretty HlabiwaMatlou Pretty Hlabiwa
Quality Analyst at AFRICAN BANKQuality Analyst at AFRICAN BANK
Xolelwa Siphokazi FantsiXolelwa Siphokazi Fantsi
Internal Audit Specialist at African BankInternal Audit Specialist at African Bank
Thato Boniface MosekiThato Boniface Moseki
Card Tester at African BankCard Tester at African Bank
KEARSHNEY BENJIMANKEARSHNEY BENJIMAN
Administrator at African BankAdministrator at African Bank
Ben NgcoiBen Ngcoi
Senior Warehouse Supervisor at DSV SolutionsSenior Warehouse Supervisor at DSV Solutions