Nallagonda Krishna Sandeep
Data Analyst • Vijayawada, Andhra Pradesh • s********************@gmail.com • +91*******534 • linkedin.com/••••• • krishnasandeepn.mgx.world/•••••
Professional Summary
Data Analyst with 0 years of experience applying data analysis, BI dashboards, and machine learning concepts to support business decisions in BFSI and retail domains. MBA (Finance & HR) with a postgraduate program in Computational Data Science; proficient in Python, SQL, Excel, Power BI, PySpark, and BI reporting. Experienced in MIS reporting, BA documentation (BRD/FRD), stakeholder coordination, and transforming datasets into actionable insights.
Technical Skills
Programming Languages: Python
Frameworks and Libraries: Pandas,NumPy,Scikit-learn,Matplotlib
Databases: SQL
Testing: Data Cleaning,Data Validation,SQL Queries
Data and Analytics: PySpark,Machine Learning,Deep Learning,Feature Engineering,Plotly,Power BI,Excel Dashboards
Tools and Methodologies: Agile,Scrum,SDLC,Microsoft Excel,Microsoft PowerPoint,Microsoft Word,Google Sheets,Google Docs
Business Analysis & Reporting: MIS Reporting,KPI Tracking,BRD,FRD,User Stories
Work Experience
HLF Services Ltd. (Hinduja Leyland Finance)
Vijayawada, India
Credit Coordinator – (BFSI)
Dec 2025 – Present
Worked in auto-finance (BFSI) supporting loan origination, credit appraisal, and credit operations to enable lending decisions and vehicle financing.
Tech Stack: Microsoft Excel, Power BI, SQL, Google Sheets, BRD, FRD
- Performed credit appraisals by reviewing loan applications, analyzing customer financial profiles and CIBIL reports to assess repayment capacity and support lending decisions using Excel and policy checklists.
- Verified KYC, financial, and vehicle documents for regulatory and policy compliance; maintained data accuracy and standardized document checklists to reduce verification rework.
- Coordinated with sales, credit, and operations teams to streamline loan processing and vehicle delivery; tracked application status and exceptions using Excel trackers and Google Sheets.
- Prepared and maintained MIS reports, Excel-based trackers and Power BI summaries to monitor application volumes, approval status and key operational KPIs for stakeholders.
- Identified discrepancies and operational risks during document verification, applied policy-based controls and escalated exceptions for timely resolution to protect portfolio quality.
- Documented process flows and BA artifacts (BRD/FRD, user stories) for credit operations and supported small process-improvement initiatives to strengthen handoffs between functions.
Hyatt Place
Vijayawada, India
Finance Intern
May 2025 – Jun 2025
Hospitality finance internship supporting hotel finance operations, reconciliations, reporting and cross-functional data collection for month-end activities.
Tech Stack: Microsoft Excel, Google Sheets, Microsoft PowerPoint, Microsoft Word
- Assisted in preparing structured finance reports and documentation following internal controls; produced organized monthly expense summaries and transaction logs using Excel.
- Collaborated with front office and accounting teams to collect, verify and update financial data, improving completeness and traceability of records for month-end close.
- Supported bank and revenue reconciliations; identified posting discrepancies and coordinated corrective entries with accounting to maintain ledger accuracy.
- Performed variance analysis on operating cost centers and prepared concise presentation-ready summaries for finance managers using Excel and PowerPoint.
- Maintained and updated financial trackers and audit-ready records in Google Sheets and Excel, ensuring data integrity and easy retrieval for reviews.
- Contributed to process documentation and BA artifacts to standardize billing and reporting procedures and support clearer role handoffs between teams.
Projects
Banking Stock Performance Evaluation – MBA Capstone
Tools Used: Python, Pandas, Matplotlib, Statistical Analysis, Financial Ratio Analysis
- Analyzed historical NSE stock data for top five banking companies using Python and Pandas to compute returns, volatility and beta for risk-return assessment.
- Conducted financial ratio analysis and comparative benchmarking to evaluate relative performance and prepared stakeholder-ready reports with investment recommendations.
- Visualized time-series trends and correlation matrices using Matplotlib and Plotly to highlight drivers of stock behavior and support decision-making.
Sales Forecasting Analysis – Small Basket
Tools Used: PySpark, Python, Excel, Feature Engineering, Scikit-learn
- Built a scalable PySpark pipeline to clean, transform and aggregate 8,000+ retail sales records for downstream analysis and forecasting.
- Performed EDA and feature engineering in Python and Excel to identify sales trends, seasonality and key predictors across product categories.
- Developed forecasting models with scikit-learn and presented results through Matplotlib and Excel dashboards to inform inventory and merchandising decisions.
Education
Andhra Loyola College
Master of Business Administration (Finance, HR) • Vijayawada, India • 2023 – 2025
KBN Degree College
Bachelor of Science (Mathematics, Statistics, Computer Science) • Vijayawada, India • 2019 – 2022
Coursework: Statistics, Mathematics, Computer Science, Data Analysis
Certifications
Business Analyst Certification: Agile Enterprise Coach — Unknown • Dec 2024
Banking and Insurance — IIS Jaipur • 2023
Post Graduate Program in Computational Data Science — Case Western Reserve University • 2023
AI in Human Resource Management — IIT Guwahati • 2024
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