Data Analyst Power Bi

SKILLS

Python (Pandas, NumPy,

Seaborn, Scikit-learn)

SQL (Queries, Joins, Stored

Procedures)

Data Cleaning &

Preprocessing

Power BI

Tableau (Basics)

Excel (Advanced, VBA,

Macros, Pivot Tables,

Dashboarding)

Regression, Classification,

Clustering

Predictive Modeling &

Forecasting

EDUCATION

Schooling -St. Aloysius Senior

Secondary School

Bachelor of Computer

Applications (BCA)– Gyan

Ganga College of Technology,

Jabalpur, MP

Data Analyst Course – Ducat

School of AI gurugram 2025

PROFILE INFO

WORK EXPERIENCE

LANGUAGES

English

Hindi

Power BI & Data Visualization

Python & SQL

Performed data cleaning, preprocessing, and analysis using Pandas, NumPy, SQL Queries & Joins.

Wrote optimized SQL queries for reporting and database management. SEO

Gained hands-on SEO experience – performed on-page SEO (meta tags, headings, content optimization), keyword research, and basic link- building strategie

Off-Page SEO: performed backlink analysis, guest posting, and directory submissions.

Machine Learning & Predictive Analytics

Developed models (Regression, Classification, Clustering) to solve business problems.

Applied feature engineering and hyperparameter tuning to improve model accuracy.

Excel (VBA & Macros)

Automated manual reporting tasks using macros, reducing time spent by 50%.

Created advanced Excel dashboards with Pivot Tables and statistical formulas.

Built interactive dashboards to visualize KPIs, sales performance, and business trends.

Designed reports that improved decision-making efficiency. I am Priyanka Dhingra, a passionate and detail-oriented Data Scientist & Analyst, skilled in Python, SQL, Power BI, Excel (VBA & Macros), and Statistics. Experienced in data cleaning, visualization, and predictive modeling to transform raw data into actionable insights. Strong in problem-solving and analytical thinking with the ability to convert complex datasets into clear business solutions. I aim to leverage my knowledge and creativity to contribute to data-driven decision-making and innovative projects. P r i y a n k a D h i n g r a

D A T A S C I E N T I S T &

ANALYST

ADDRESS

:

Email:******************@*****.***

Phone: 881-***-****

OldDLFColony, Sector 14,

Gurgaon.

Contact this candidate