Hello! I'm Sai Mounik
I’m Sai Mounik, a numbers person with a knack for turning complex financial data into clear, actionable stories. Over the past 4 years, I’ve worked across banking, fintech, and accounting, helping teams not just see the numbers, but truly understand what they mean for the business.
I blend finance expertise with analytics and AI skills, using SQL, Power BI, Tableau, Excel automation, and machine learning to make reporting faster, forecasts sharper, and decisions smarter. In recent years, I’ve embraced AI adoption in finance, like developing predictive models for revenue forecasting, credit risk assessment, and investment evaluation, and integrating them into real-world decision-making.
With a Master’s in Business Analytics and hands-on experience in SAP FICO, I speak both the language of finance and the language of tech, which means I can bridge gaps, solve problems faster, and deliver insights that actually drive results.
Outside of spreadsheets, dashboards, and AI experiments, you’ll probably find me exploring new tech tools, learning the latest in analytics, or finding ways to make processes simpler, faster, and just a little more fun.
Sai Mounik
FINANCIAL ANALYST
(302) 312-1377
Email:
Address:
1700 W Frankford Rd
Carrollton, TX 75007
Date of Birth:
July 21st, 1997
Phone:
EXPERIENCE
2024 - CURRENT
FINANCIAL ANALYST
SYNCHRONY FINANCIAL
Improved forecast accuracy by reconciling SQL-based actuals with SAP FICO data and enhancing Excel models for monthly and quarterly business reviews. Automated reporting templates with Power Query and VBA, cutting manual effort by 30%. Designed Power BI dashboards with live ERP connectors for real-time OPEX and revenue tracking, reducing ad hoc reporting by 45%
2021 - 2023
RAZORPAY
FINANCIAL ANALYST
Streamlined finance operations by identifying payout mismatches with SQL, reducing reconciliation errors and improving settlement accuracy. Built Tableau dashboards to track transaction volumes, fees, and chargebacks, improving reporting efficiency. Developed IRR models for product investment planning, enhancing return projections by 22%.
2018 - 2019
EXCELR
INTERNSHIP, DATA ANALYTICS
This certification-based internship helped me master the foundations of data analytics and visualization, covering SQL, Excel, Power BI, Tableau, Python, and business statistics. Through hands-on projects, I gained real-world experience in data wrangling, dashboard creation, and statistical problem solving, laying a solid groundwork for my full-time roles in the analytics field.
EDUCATION
SACRED HEART UNIVERSITY - USA
Master's Degree
Gained hands-on expertise in data visualization, SQL, Python programming, machine learning, cloud technologies (AWS/GCP), business statistics, and applied AI for business use cases. Completed real-world projects in predictive modeling, dashboard design, and data-driven strategy. Focused on translating complex data into clear, actionable business insights.
ACHARYA NAGARJUNA UNIVERSITY - INDIA
Bachelor's Degree
Studied business and commerce fundamentals alongside IT and computer applications, developing a strong dual perspective in business operations and digital systems. Excelled in information systems, databases, accounting, and programming, forming a solid foundation for data-centric decision-making.
RAJU CAMBRIDGE INTERNATIONAL HIGH SCHOOL - INDIA
High School Diploma
Built a strong base in analytical reasoning, quantitative thinking, and problem-solving. Developed early interest in data, technology, and logic-based systems, which later shaped a career path in analytics and cloud technologies.
SKILLS & EXPERTISE
-
Financial Planning & Analysis: Budgeting, Forecasting, Variance Analysis, DCF, NPV, IRR, Capital Budgeting, Cost Optimization
-
Accounting & Compliance: GAAP, IFRS, Financial Statement Analysis, Month-End/Quarter-End Close, Audit Support, Regulatory Compliance
-
Cloud Platforms:
GCP (BigQuery, Dataflow, Cloud Functions) AWS (S3, Lambda, RDS) Azure (Synapse, Data Lake) -
Visualization Tools:
Power BI, Tableau, Google Data Studio, Excel (Advanced), Matplotlib, Seaborn -
Languages & Analytics:
Python (Pandas, NumPy, Scikit-learn), SQL, R (Basic) Shell Script, Google Apps Script -
Data Engineering & Automation:
Apache Airflow, Apache Beam, NiFi, AWS Glue, Talend, Cloud Composer -
Databases:
PostgreSQL, BigQuery, MySQL, MongoDB, DynamoDB, Amazon RDS
CERTIFICATIONS
-
AWS Solutions Architect Associate
-
IBM Data Visualization
-
ExcelR Data Analyst Certification
-
Tata Virtual Internship (Data Visualization)
-
IBM Machine Learning for Data Science Projects
-
IBM Applied Data Science Specialization
-
Google Data Analytics Professional Certificate (Coursera)
-
Microsoft Certified: Power BI Data Analyst Associate -Speciality
-
HackerRank SQL (Intermediate)
WHAT I DO
🔍 Financial Analysis & Business Intelligence
Turn complex financial data into decision-ready insights through forecasting, variance analysis, and KPI tracking. Build interactive dashboards using Power BI, Tableau, and Excel automation to support strategic decision-making and stakeholder reporting
🔧 Cloud-Native Data Engineering
Design and deploy secure, serverless ETL pipelines integrating financial and operational data using AWS Glue, Lambda, S3, and GCP BigQuery, enabling real-time analytics and automated reporting workflows.
🧠 Predictive Modeling & AI in Finance
Develop and deploy machine learning models for revenue forecasting, risk assessment, and investment evaluation using SageMaker, Vertex AI, and Python-based frameworks. Ensure accuracy, scalability, and compliance with industry regulations.
☁️ Cloud Architecture & Optimization
Architect cost-efficient and compliant cloud environments on AWS, GCP, and Azure for finance and analytics workloads. Optimize infrastructure for performance, cost savings, and regulatory adherence.
🌐 Domain Versatility
Experience across banking, fintech, and accounting industries with proven ability to adapt financial and analytical solutions to domain-specific challenges, including regulatory compliance, audit support, and cost optimization.