Business Intelligence & Analytics Professional

Sahitya Chekka

https://www.linkedin.com/in/sahitya-chekka/ +1-512-***-**** ***************@*****.*** Austin/TX (Open to Relocation) PROFESSIONAL SUMMARY

Analytics and Business Intelligence Professional with 4+ years of experience in data analytics, business intelligence, and process improvement. Skilled in requirements gathering, stakeholder management, SQL, Python, Power BI, Tableau, and KPI development. Experienced in transforming complex data into actionable insights, optimizing business processes, and developing reporting solutions. Adept at supporting strategic decision making across finance, operations, AI evaluation, and sales domains. SKILLS & TOOLS

● Languages/Database: Python, SQL

● Visualization, Reporting and Data Tools: Tableau, Power BI, Excel, Matplotlib, Google Data Studio, Streamlit

● Business Tools and Techniques: SAP, QuickBooks, ServiceNow, Salesforce style CRM workflows

● Project, Source Code Management and Others: Asana, JIRA, Git, Scrum, Agile, Microsoft Office, SharePoint

● Business Analysis: Requirements Gathering, BRD/FRD Creation, User Stories, UAT, Gap Analysis, Process Mapping, Stakeholder Management, KPI Definition, As-Is/To-Be Analysis, Workflow Documentation, EDUCATION

Master’s in Business Analytics (3.81/4.0) Jan 2024 - Dec 2025 University of North Texas

Bachelor of Business Administration (9.14/10) Jun 2018 - May 2021 St. Mary’s Degree College

PROFESSIONAL EXPERIENCE

Turing Enterprises - AI Analyst Mar. 2026 – Present

● Defined and applied structured evaluation criteria to assess outputs against business requirements, data quality standards, and accuracy benchmarks across complex workflows.

● Developed As-Is and To-Be process flows to streamline AI evaluation workflows and improve operational efficiency.

● Facilitated requirement gathering sessions with business and technical stakeholders to define evaluation criteria, success metrics, and process improvement opportunities.

● Leveraged SQL and Python to perform data extraction, transformation, and analysis on datasets exceeding 1M+ records.

● Conducted gap analysis and process mapping to identify operational inefficiencies and recommend improvements.

● Supported User Acceptance Testing (UAT) by validating requirements, test scenarios, and expected outcomes.

● Created BRDs, FRDs, process flows, and workflow documentation to support project delivery and knowledge transfer.

● Conducted exploratory data analysis (EDA) to identify patterns, trends, and opportunities for process optimization.

● Defined acceptance criteria, user stories, and business requirements for AI-driven solutions and analytics initiatives. Deloitte Touche Tohmatsu – Associate Analyst Jun 2022 - Dec 2023

● Applied statistical analysis and anomaly detection techniques to identify unusual payment transactions, expense outliers, and data inconsistencies across financial systems.

● Supported User Acceptance Testing (UAT) for enhancements to SAP and ServiceNow workflows, ensuring business requirements were met.

● Streamlined financial and operational reporting through Excel VBA automation, reducing manual effort and improving reporting efficiency by 32%.

● Performed trend analysis on payment cycles, expense patterns, and vendor transactions to identify cost-saving opportunities and improve operational processes.

● Validated ETL pipelines and financial data transformations, reducing reporting discrepancies by 25%.

● Performed exploratory data analysis (EDA) on transaction and expense data to identify business risks, operational inefficiencies, and process improvement opportunities.

● Collaborated with Finance, Procurement, and Operations stakeholders to document business requirements and support process enhancements for vendor payment and expense management workflows. RV Global Solutions - Analyst Feb 2021 – May 2022

● Developed predictive models and performed customer segmentation analysis using Power BI, Excel, and statistical techniques to identify high-value prospects and optimize lead generation strategies.

● Built interactive Power BI dashboards using SQL sourced data to visualize sales performance, lead funnels, customer cohorts, and conversion metrics, contributing to a 20% increase in qualified leads.

● Designed and maintained data models to forecast demand, sales trends, and inventory requirements, improving planning accuracy and operational efficiency.

● Defined performance metrics and reporting standards to measure lead quality and optimize lead generation outcomes.

● Extracted, cleaned, transformed, and analyzed large datasets using SQL, Excel Power Query, Python, and Power BI to support business intelligence initiatives and executive reporting.

● Conducted campaign performance analysis and A/B testing to evaluate lead-generation effectiveness, providing recommendations that improved conversion and engagement rates.

● Leveraged DAX, drill through functionality, bookmarks, and advanced visualizations to create self service dashboards for sales, marketing, and leadership teams.

● Delivered actionable insights through data visualization and executive presentations, enabling data-driven decision-making across sales and marketing functions. Metamorphosis Edu - Management Analyst Jul 2019 – Feb2021

● Collected, cleaned, and analyzed participant, attendance, and survey data using Excel and Python to identify engagement trends and support data-driven program improvements.

● Developed interactive dashboards and reports to monitor program participation, mentor allocation, attendance metrics, and performance indicators across multiple school locations.

● Conducted data analysis on workshop feedback and survey responses, providing actionable recommendations that improved curriculum effectiveness and participant engagement.

● Collaborated with program managers, mentors, and stakeholders to gather reporting requirements and define key performance indicators (KPIs) for program success.

● Automated data consolidation and reporting processes using Excel functions and Python scripts, reducing manual effort and improving reporting accuracy.

● Performed trend and gap analysis to identify areas for program enhancement, resource optimization, and mentor utilization.

● Supported decision-making through ad-hoc analysis of program performance, engagement metrics, and participant feedback.

PROJECTS

Transformation Metrics Dashboard PowerBI, Excel, SQL Built a centralized reporting system in Power BI and Excel to track KPIs, milestones, and ROI, with automated data inputs and validations to ensure quality and deliver executive-ready insights on transformation progress. County Financials System Python, SQL, Power BI

Delivered an end to end financial management platform serving multiple counties, automating budgeting, grants management, and invoicing. Led the migration of financial data from legacy systems with full data integrity, consolidating disparate records into a single source of truth, and configured role based access controls to secure sensitive data and tailor module visibility by user and county. Built customized Power BI dashboards and a self-service report builder that gave stakeholders county-specific reporting on demand.

Fake News Detection System Scikit-learn (TF-IDF), DistilBERT fine-tuning, and Streamlit Developed a web-based machine learning app to classify news headlines for credibility in real-time. Implemented TF-IDF with Scikit-learn and fine-tuned DistilBERT for enhanced text classification. Deployed via Streamlit with an interactive user interface for instant feedback.

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