Hello!
Aspiring data scientist exploring the intersection of AI, ML, and business insights.
Learning through projects, growing through curiosity,
and building with purpose.
Name: Samiha Ansari
Education: B.Sc. in Statistics
Institute: Ramjas College, University of Delhi
Address: Delhi, India
SQL 70%
Python 60%
Data Visualization 70%
Statistical Analysis 80%
Web Scraping & Automation 75%
Aspiring Data Analyst with a strong foundation in data wrangling, statistical analysis, and data visualization. Skilled in Python, SQL, Excel, and Power BI, with hands-on experience in EDA, web scraping, and sales forecasting dashboard projects. Passionate about transforming raw data into actionable insights and building impactful dashboards. Currently exploring opportunities to apply data-driven decision-making in real-world business scenarios.
Profile: Data Science & Analytics
Domain: Data Analytics
Education: B.Sc. Statistics
Language: English, Hindi
BI Tools: Microsoft Excel, Power BI
Technical: Python, SQL, Web Scraping, Excel, Pandas, NumPy, Matplotlib
Interest: Dancing, Movies & Shows, Comedy
Statistics graduate with strong foundations in mathematics and machine learning.
Passionate about developing data-driven solutions through statistical analysis and ML algorithms.
2025 – Present
Hindu College, University of Delhi
CGPA: Nil
2022 – 2025
Ramjas College, University of Delhi
CGPA: 8.167
Explore your WhatsApp chats with clear insights and beautiful visuals.
Analyze your WhatsApp chats effortlessly with this Streamlit app. It generates timelines, emoji analysis, and user activity breakdowns to reveal your messaging patterns visually and interactively.
A fully interactive data analysis dashboard built using Streamlit and Pandas that explores 120+ years of Olympic history. This project visualizes medal counts, athlete demographics, sports trends, and country-wise performance — all in one streamlined web app.
Created a comprehensive Power BI dashboard for emergency room monitoring, featuring real-time analytics of patient flow, wait times, and satisfaction metrics to optimize healthcare operations.
Developed an interactive sales dashboard using key KPIs and time series analysis to forecast sales for the next 15 days. Delivered actionable insights to improve business strategies, drive growth, and enhance decision-making for a supermarket. Gained hands-on experience in data visualization, forecasting, and business analytics.