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Data Analyst with 2+ years in Python, SQL & Power BI for Data-Driven Decision Making
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 expertise in Python and SQL, exploratory data analysis (EDA), and data visualization. Experienced in building machine learning models using scikit-learn, including regression, classification, and clustering. Strong ability to transform data into actionable and support business decision-making.
Devineni Venkata Ramana & Dr. Hima Sekhar MIC College of Technology
Bachelor of Technology · Electronics and Communication Engineering
N/A – June 30, 2024
Slashmark
Internet Of Things (IoT) Intern
January 1, 2024 – March 31, 2024
India
Customer Segmentation & Churn Analysis
January 1, 2025 – December 31, 2025
Performed EDA on customer dataset (10k+ records) to identify behavior patterns. Applied K-Means clustering to segment customers into high-value and low-value groups. Built a churn prediction model using classification algorithms (Logistic Regression). Achieved 85% model accuracy in predicting customer churn. Visualized insights using Power BI dashboards for stakeholder decision-making. Identified key factors influencing churn improving retention strategy by 20%.
Data-Driven Energy Economy Prediction for Electric City Buses
January 1, 2025 – December 31, 2025
Developed a machine learning model to predict electric bus energy consumption (kWh/Km) using historical data. Performed data preprocessing, feature engineering, and EDA to enhance model performance. Applied Regression, Random Forest, and Decision Tree algorithms and evaluated using RMSE and R2-Score. Built visualizations (Matplotlib/Power BI) to analyze factors like route conditions, load, and weather for energy optimization.
Python programming
APSSDC
June 1, 2026 – Present
Job Ready Employability Skills
Wadhwani Foundation
June 1, 2026 – Present
Salesforce Training Program
Unknown
June 1, 2026 – Present
Data Analytics Jobs Simulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a focus on practical problem-solving, which aligns with a results-oriented culture. The diversity of projects (customer behavior, energy prediction) and certifications (Python, Salesforce, Data Analytics Simulation) indicates a proactive learning attitude and a broad interest in data-related fields. The target role of Data Analyst aligns well with the candidate's demonstrated skills and project experience. However, the lack of professional work experience beyond a short internship limits the assessment of long-term cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver quantifiable results (e.g., 85% model accuracy, 20% retention improvement). The IoT internship suggests exposure to real-time data systems and data preprocessing, which are valuable for operational roles. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.