tanisha chordia
About Candidate
Tanisha Chordia | Data Analyst & Aspiring BI Specialist
I am a data analyst with a strong foundation in Python, SQL, Power BI, and machine learning, passionate about turning raw data into meaningful insights. With hands-on experience in data visualization, web scraping, and predictive modeling, I have worked on projects such as social media sentiment analysis, spam classification, and customer churn prediction.
I have successfully completed multiple certifications, including Python 101 for Data Science (IBM), Data Analytics Bootcamp, and Business Intelligence courses from Infosys Springboard. My experience at AppTech Infosoft Pvt. Ltd. as a Data Analyst has further honed my skills in data modeling, analytics, and dashboard creation.
🔹 Key Skills:
✔ Data Analysis & Visualization (Power BI, Matplotlib, Seaborn)
✔ SQL & Database Management (Queries, Dashboards)
✔ Machine Learning (Classification, Prediction Models)
✔ Web Scraping & Automation
I am always eager to explore new challenges in data analytics, business intelligence, and data-driven decision-making. Let’s connect and discuss how data can shape better business outcomes!
📩 Connect with me: [jaintanu881@gmail.com]
Location
Education
🎓 Education Bachelor of Technology (B.Tech) in [Your Branch, e.g., Computer Science & Engineering] 📍 Poornima University | 2022 – Present Gaining expertise in data analytics, machine learning, and business intelligence with a strong foundation in Python, SQL, and Power BI. Worked on projects related to data visualization, sentiment analysis, web scraping, and predictive analytics. Completed industry-recognized certifications, including Python 101 for Data Science (IBM), Data Analytics Bootcamp, and Business Intelligence courses from Infosys Springboard. Participated in a Walmart Hackathon, applying analytical skills to solve real-world problems
Work & Experience
Data Analyst 📍 AppTech Infosoft Pvt. Ltd. | [july-2024] – [august-2024] Analyzed and processed large datasets to extract actionable insights, improving decision-making processes. Created interactive dashboards and data visualizations using Power BI to present key business metrics. Developed SQL queries for data extraction, transformation, and reporting, optimizing database performance. Applied machine learning models for predictive analysis, supporting business strategy and forecasting. Worked on real-world projects, enhancing expertise in data modeling, analytics, and business intelligence.
