Dravyesh Upadhyay

Entry-level Data Analyst

1+ yrs exp 88 · Excellent

About

Entry-level Data Analyst with hands-on project experience using Python, SQL, Excel, and Power BI for data cleaning, EDA, KPI analysis, visualization, and dashboard development. Skilled in transforming raw data into actionable insights. Seeking to grow as a Data Analytics professional and contribute to business decisions through data-driven solutions.

Skills & Expertise (44)

Python Advanced

8.5/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

NumPy Advanced

8.0/10

Years Exp

scikit-learn Advanced

8.0/10

Years Exp

Power BI Advanced

8.0/10

Years Exp

Machine Learning Advanced

8.0/10

Years Exp

Data Analysis Advanced

8.0/10

Years Exp

Data Visualization Advanced

8.0/10

Years Exp

SQL Advanced

8.0/10

Years Exp

Statistics Intermediate

7.5/10

Years Exp

EDA Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

DAX Intermediate

7.5/10

Years Exp

Jupyter Notebook Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Business Intelligence Intermediate

6.0/10

Years Exp

Data Modeling Intermediate

6.0/10

Years Exp

Google Colab Intermediate

6.0/10

Years Exp

Random Forest Intermediate

6.0/10

Years Exp

KPI Dashboards Intermediate

6.0/10

Years Exp

FastAPI Intermediate

6.0/10

Years Exp

Normalization Intermediate

6.0/10

Years Exp

Schema Design Intermediate

6.0/10

Years Exp

HAVING Intermediate

6.0/10

Years Exp

Subqueries Intermediate

6.0/10

Years Exp

Window Functions Intermediate

6.0/10

Years Exp

CTEs Intermediate

6.0/10

Years Exp

Joins Intermediate

6.0/10

Years Exp

CASE WHEN Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

Postgresql Intermediate

6.0/10

Years Exp

Data Validation Intermediate

6.0/10

Years Exp

Prompt Engineering Intermediate

6.0/10

Years Exp

LLMs Intermediate

6.0/10

Years Exp

DSA Streamlit OOP GitHub VS Code RAG LangChain Pivot Tables Power Query Excel

Work Experience

Data Science Trainee

AlmaBetter

Apr 2025 - Present

Implemented 5+ machine learning workflows covering data preprocessing, exploratory data analysis, feature engineering, model training, and evaluation using Python, Pandas, NumPy, and Scikit-learn. Developed 3+ Generative AI solutions using LLMs, LangChain, and Retrieval-Augmented Generation (RAG), implementing document retrieval, contextual information handling, prompt engineering, and AI-powered response generation. Transformed 10,000+ structured data records using SQL, Power BI, DAX, Power Query, and data modeling, developing interactive dashboards and deriving actionable business insights.