saipuneeth rokkam

Data Analyst

Anantapur, Andhra Pradesh, India 80 · Excellent

About

Data analyst with hands-on SQL, Excel, Python and Power BI experience across two data internships, specializing in cleaning, validating and analyzing structured and unstructured data to surface trends and anomalies. Experienced in building reports, defining measurable KPIs and presenting findings to technical and non-technical audiences. Ready to turn complex datasets into clear, actionable recommendations for business, product and operations teams.

Skills & Expertise (32)

Python Advanced

8.2/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

Data Cleaning Advanced

8.0/10

Years Exp

Exploratory data analysis Advanced

8.0/10

Years Exp

NumPy Advanced

7.8/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Data Quality Assurance Intermediate

7.5/10

Years Exp

Data Visualization with Python Intermediate

7.5/10

Years Exp

Problem Solving Intermediate

7.0/10

Years Exp

Keras Intermediate

7.0/10

Years Exp

TensorFlow Intermediate

7.0/10

Years Exp

scikit-learn Intermediate

7.0/10

Years Exp

Predictive Analytics Intermediate

7.0/10

Years Exp

Trend Analysis Intermediate

7.0/10

Years Exp

Statistics Intermediate

7.0/10

Years Exp

Stakeholder Collaboration Intermediate

6.5/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

Documentation Intermediate

6.0/10

Years Exp

DAX Intermediate

5.5/10

Years Exp

MySql Figma Prompt Engineering Generative AI NLP Microsoft Excel Pivot Tables Lookups Power Query C++ Data Validation Dashboards MATLAB

Work Experience

Data Science Intern

ExcelR

Present - Present

Analyzed user and product interaction data and segmented users with hierarchical clustering to uncover behavior patterns and opportunities for improvement. Built an end-to-end recommendation pipeline (User-Item matrix, cosine similarity, Random Forest) that turns a User ID into ranked product output, validating accuracy with statistical evaluation.

AI/ML Intern

Teachnook

Present - Present

Cleaned, preprocessed and validated large structured and unstructured datasets, applying data quality checks to ensure complete, consistent and accurate inputs. Performed exploratory data analysis to identify patterns, trends and anomalies that guided model and process improvements. Improved classification performance through hyperparameter tuning and statistical evaluation using Python, TensorFlow, Keras and NLTK.