Haaris Shaikh

Data Analytics postgraduate

Mumbai, India 0+ yrs exp 81 · Excellent

About

Data Analytics postgraduate with internship experience in market research and data analytics. Skilled in SQL, Python, Excel, and Power BI, with hands-on experience in reporting automation, survey analytics, and data visualization. Interested in using data to identify trends, solve business problems, and support decision-making.

Skills & Expertise (17)

Excel Intermediate

6.1/10

0.5

Years Exp

Python Intermediate

6.1/10

0.5

Years Exp

Seaborn Intermediate

6.0/10

0.5

Years Exp

Matplotlib Intermediate

6.0/10

0.5

Years Exp

Power Query Intermediate

6.0/10

0.5

Years Exp

Exploratory data analysis Intermediate

6.0/10

0.5

Years Exp

Survey Analysis Intermediate

6.0/10

0.5

Years Exp

Reporting Automation Intermediate

6.0/10

0.5

Years Exp

Pandas Intermediate

6.0/10

0.5

Years Exp

SQL Beginner

5.1/10

0.5

Years Exp

Data Validation Beginner

5.0/10

0.5

Years Exp

Dashboard Reporting Beginner

5.0/10

0.5

Years Exp

NumPy Beginner

5.0/10

0.5

Years Exp

Forecasting Beginner

5.0/10

0.5

Years Exp

Segmentation analysis Beginner

5.0/10

0.5

Years Exp

Hypothesis Testing Beginner

5.0/10

0.5

Years Exp

Power BI Beginner

5.0/10

0.5

Years Exp

Work Experience

Market Research Intern

Hansa Research Group

Jan 2026 - Apr 2026

Cleaned and validated 100K+ survey responses across multiple client projects, identifying inconsistencies before reporting. Automated recurring Excel reporting workflows using Power Query and dynamic templates, reducing manual effort by 25–30%. Analyzed survey data and prepared cross-tabulations, analytical summaries, and client-facing reports to support business insights. Supported multiple concurrent research studies, ensuring reporting accuracy and timely delivery of project outputs.

Data Science Intern

Sequretek IT Solutions

Jan 2024 - Mar 2024

Processed and transformed 90K+ records in Python, creating clean datasets for exploratory analysis and predictive modelling. Developed and benchmarked multiple classification models to isolate malicious URL patterns, applying cross-validation to achieve a peak validation accuracy of 93%. Generated interactive visualization layers using Matplotlib and Seaborn to break down complex machine learning findings and risk profiles for non-technical company leadership.