Maniratnam Thota

Business Analyst

Malvern, Pennsylvania, United States5 yrs 3 mos experience

Key Highlights

Over 4 years of experience in data analytics.
Expert in SQL, Python, and data visualization tools.
Proven track record in improving operational efficiency.

Stackforce AI infers this person is a Data Analyst with expertise in Fintech and MarTech sectors.

Contact

maniratnammunna021199@gmail.com LinkedIn

Skills

Core Skills

Data AnalysisMachine LearningBusiness Intelligence

Other Skills

ASP.NETAmazon Web Services (AWS)Analytical SkillsBusiness AnalysisBusiness Intelligence (BI)Business Intelligence ToolsBusiness ProcessBusiness RequirementsC (Programming Language)CSSCloud ComputingCommunicationCore JavaCritical ThinkingDAX

About

I’m a data analyst with over 4 years of hands-on experience translating complex datasets into clear, actionable insights that drive strategic decisions. With a strong command of SQL, Python, Power BI, and Tableau, I specialize in building dynamic dashboards, automating reporting processes, and delivering analytics solutions that enhance operational efficiency and business performance. My professional journey spans industries like finance and marketing, having worked at Goldman Sachs and Capgemini, where I tackled data challenges at scale. From analyzing 12M+ SCADA records to developing interactive marketing dashboards and optimizing data pipelines, I take pride in turning raw data into powerful stories. I’m also skilled in advanced Excel, DAX, statistical tools like SAS and JMP Pro, and cloud platforms like AWS (S3, EC2). I thrive in Agile teams, contributing to collaborative, fast-paced environments where data drives innovation. Let’s connect if you’re looking for someone who blends technical depth with business understanding to deliver measurable results.

Experience

5 yrs 3 mos

Total Experience

2 yrs 11 mos

Average Tenure

2 yrs 4 mos

Current Experience

Goldman sachs

Data Analyst

Feb 2024 – Present · 2 yrs 4 mos · United States · Remote

Designed and tested credit scoring models using supervised learning methods, improving accuracy of risk assessments and supporting better lending decisions.
Built anomaly detection models in Python to flag unusual transactions in real time, reducing manual checks and enabling faster fraud response.
Applied clustering and dimensionality reduction techniques to segment credit card customers, helping tailor marketing campaigns and product offers.
Performed exploratory data analysis to uncover trends in customer behaviour, providing insights that improved risk models and operational efficiency.
Ran A/B testing on a recommendation engine to measure impact on conversion rates, guiding data-driven refinements to the model.
Created Tableau dashboards and automated reports to present credit risk and customer insights, enabling leadership to act quickly on key metrics.

PythonSQLTableauMachine LearningData Analysis

Capgemini

2 roles

Data Analyst

Promoted

Feb 2020 – Jun 2022 · 2 yrs 4 mos · Bengaluru, Karnataka, India

Cleaned and transformed marketing data using Python (Pandas) and SQL, improving model input accuracy by 25% across 30+ client campaigns and reducing analyst prep time by 8 hours weekly.
Built predictive models and generated data products to support customer segmentation using Python, TensorFlow, and Scikit-Learn for the improvement of the model, while upgrading the entire models for improvement of the product.
Performed Data validation by writing several complex SQL queries and involved in testing and resolving data quality issues.
Built Tableau dashboards with interactive filters and drilldowns, enabling 12 marketing teams to track daily CTR, conversion rates, and spend allocation across campaigns.
Conducted regression analysis and correlation tests in SAS to measure a 15% uplift in customer engagement post-campaign, leading to revised budget allocation across 5 business units

PythonSQLTableauSASTensorFlowData Analysis+1

Data Analyst

Jun 2019 – Jan 2020 · 7 mos · Bengaluru, Karnataka, India

Utilized Python for data cleaning and preprocessing, enhancing data accuracy and identifying over 200 errors in database systems, which led to resolving almost half of the user-reported issues and improving overall data quality.
Managed financial datasets in SQL Server, optimizing query performance and significantly reducing report generation times by almost 30%, while implementing a standardized process for database modifications.
Developed 20+ interactive dashboards using Power BI to effectively showcase financial performance metrics and operational insights, enabling stakeholders to make data-driven decisions.
Participated in cross-functional collaboration of programmers and analysts in implementing database changes, resulting in an improvement in project efficiency while ensuring adherence to quality standards and best practices.

PythonSQLPower BIData AnalysisBusiness Intelligence