M

Manikanta Chari Siddi

Business Development Executive

Andhra Pradesh, India7 yrs 4 mos experience
Highly Stable

Key Highlights

  • Expert in fraud detection and prevention strategies.
  • Proficient in SQL and data visualization tools.
  • Strong analytical skills driving business insights.
Stackforce AI infers this person is a Fraud Analyst with expertise in Fintech and Data Analytics.

Contact

Skills

Core Skills

Fraud AnalysisFraud DetectionData AnalysisRisk AnalysisFraud PreventionBusiness Insight Generation

Other Skills

Fraud AnalyticsSQLData VisualizationGoogle SheetsAnalytical SkillsData AnalyticsMicrosoft SQL ServerDashboardsExploratory Data AnalysisPython (Programming Language)Google Data StudioTableauMicrosoft ExcelOperationsBusiness Process Improvement

About

Fraud Analysis: I have a proven track record in analyzing complex fraud patterns and developing strategies to prevent and detect fraudulent activities. Through my experience, I have developed a deep understanding of fraud trends and effective countermeasures. Business Insight Generation: I possess a keen ability to analyze and interpret large datasets, extracting meaningful insights that drive informed decision-making. Leveraging tools such as Google Sheets and SQL, I have successfully translated data into actionable business recommendations. Technical Proficiency: Proficient in Google Sheets and SQL, I have a strong foundation in data analysis and manipulation. I am adept at creating complex queries, performing data cleansing, and generating accurate reports. Additionally, I possess a solid understanding of statistical analysis and data visualization techniques.

Experience

7 yrs 4 mos
Total Experience
7 yrs
Average Tenure
4 mos
Current Experience

H&r block india

Sr Fraud Analyst

Jan 2026Present · 4 mos · Hyderabad, Telangana, India · Hybrid

Fraud AnalyticsSQLFraud AnalysisFraud Detection

Uber

3 roles

Risk and Fraud Analyst

Jan 2024Jan 2026 · 2 yrs

  • Analytics - Creating advanced SQL queries to conduct elaborate data analysis and generate insights. Reviewing earner (partners), spender (users) and merchants metrics to properly detect fraud and ensure high-quality experiences in the Uber ecosystem.
  • Data handling from collecting, transforming and discovering patterns.
  • Data extraction as per business request for Ad hoc analysis
  • Actionable Insights - The main deliverable is to generate insights and monitor rules hits, adapting them to increase accuracy with the aim to reduce Financial Fraud, Chargebacks, Cash Arrears, Refunds and Appeasements, Promo Abuse, Unsettled Transactions, etc.
  • Root cause Investigations - Understanding how the fraudsters exploited loopholes and created fraud rules for products or operations.
  • Effective Communication - Summarizing and communicating investigation results, findings and insights to drive Product and Operational fixes, contributing to the creation and maintenance of relevant documentation.
  • Advanced Visualization: Creating advanced visualizations and dashboards to communicate complex findings in Looker Studio and Tableau.
  • Project Management: Coordinating with regional ops teams, data science, and Product teams to streamline the processes
SQLData VisualizationFraud DetectionData Analysis

Risk Investigator and Analyst

Promoted

May 2021Jan 2024 · 2 yrs 8 mos

  • Performing Risk Analysis, Management and Prevention activities for Driver accounts
  • Data Analysis using SQL and analyzing the fraud patterns
  • Developed High-Level Dashboards on Looker Studio and Tableau for Agent metrics, Team KPIs, and Outliers
  • Created an Automated reports-sending mechanism to automate the daily reports on Google Sheets
  • Dealing with account takeovers, payments, and chargebacks frauds
  • Deep dive into the investigations to discover new fraud patterns and share Insights with the stakeholders to implement new rules to mitigate Fraud
  • Worked on projects to streamline the process and revamp the SOP
SQLGoogle SheetsRisk AnalysisFraud Prevention

Business Insight Generation Analyst

Jan 2019May 2021 · 2 yrs 4 mos

  • Generating insights to improve the process, policy, product, and content for Ubereats Business
  • Investigating existing scenarios to provide insights at the best possible logic that will fulfill the stakeholder's vision toward the business
  • Investigating and revamping the knowledge base and policy gaps
  • Data analysis and Data Visualization
  • Created plans and communicated deadlines to ensure projects were completed on time.
Analytical SkillsData AnalyticsBusiness Insight GenerationData Analysis

Education

Marri Educational Society's Marri Laxman Reddy Institute of Technology and Management

Bachelor of Technology — Mechanical Engineering

Jan 2015Jan 2018

GOVERNMENT POLYTECHNIC, VIJAYAWADA

Diploma — Mechanical Engineering

Jan 2012Jan 2015

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