Sriram Koteswara Rao Munaga
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with less than a year in SQL, Python, Power BI, and Machine Learning.
Aspiring Data Analyst with hands-on experience in Excel, SQL, Python, and Power BI, developing predictive models, KPI dashboards, and reporting solutions from customer and operational datasets. Skilled in statistical analysis, feature engineering, and machine learning techniques to uncover trends, evaluate performance, and support data-driven decision-making. Passionate about transforming complex data into actionable business insights.
Aditya College of Engineering and Technology
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
SGP Junior College
Intermediate · MPC
June 1, 2020 – May 31, 2022
Bhashyam English Medium High School
Secondary School Education · 10th
June 1, 2019 – May 31, 2020
SmartBridge Educational Services Pvt. Ltd.
AI & Machine Learning Intern
September 1, 2025 – March 1, 2026
India
Hydrotribe Pvt. Ltd.
Machine Learning Intern
May 1, 2024 – July 1, 2024
India
Sales Performance Analytics Dashboard
June 1, 2026 – Present
Queried and consolidated 10K+ transactional records using SQL joins and aggregations to surface revenue trends across 5+ product categories and regional segments. Engineered KPI metrics (gross margin, growth rate, average order value) in Pandas, cutting manual reporting time by an estimated 40%. Structured an interactive Power BI dashboard with slicers, drill-through pages, and DAX measures, giving executives region-wise visibility in a single view. Investigated underperforming segments through cohort comparisons and presented three actionable recommendations to improve regional profitability.
View ProjectCustomer Churn Prediction & Analytics System
June 1, 2026 – Present
Preprocessed a telecom dataset of 7K+ customer records, handling missing values, encoding categorical variables, and scaling numerical features for model readiness. Trained and benchmarked Logistic Regression and Random Forest classifiers, selecting the higher-performing model based on precision, recall, and F1-score on a held-out test set. Profiled customer segments by tenure, contract type, and usage patterns to pinpoint the groups most likely to churn. Published a Power BI dashboard tracking retention KPIs and churn risk scores, raising stakeholder data accessibility by 30%. Summarized model findings into plain-language retention strategies for non-technical stakeholders.
Cisco Python Certification
Unknown
June 1, 2026 – Present
Tata Group Data Analytics Job Simulation
Tata Group
June 1, 2026 – Present
Power BI for Data Analytics
Unknown
June 1, 2026 – Present
Certiport IT Specialist in Python
Certiport
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a proactive approach to learning and applying data analytics and machine learning skills. The diversity of projects (sales performance, customer churn, operational metrics) shows a broad interest in different business domains. The certifications in Python and Power BI further indicate a commitment to skill development. However, the candidate is still pursuing a Bachelor's degree, which means their experience is primarily academic and internship-based, potentially requiring more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with structured datasets, identify trends, and present findings, which aligns with the operational demands of a Data Analyst. The experience in summarizing model findings for non-technical stakeholders suggests good communication potential. However, the psychometric test score is low, which might indicate potential challenges in logical reasoning, stress handling, or team collaboration, requiring further investigation.