Optimizing Business Intelligence with Power BI
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Hello I’m Tamanna
10+
Expertise
3+
Years Of Experience
Data Analyst
00+
Successful Projects
00/5
Project Excellence Score
00+
Years of Experience
00+
Deployed Data Solutions
Why Should You Hire Me?
Expert in SQL, Power BI, and data modeling to drive actionable insights and business growth.
I am a results-driven Data Analyst with expertise in SQL, Power BI, Python, and machine learning. I help organizations uncover insights, optimize operations, and make data-informed decisions. Passionate about solving real-world problems, I turn complex data into actionable strategies. My blend of analytical rigor and storytelling ensures impactful, insight-driven solutions aligned with business goals.
Tamanna
- Data Analyst Hire Me for Your Dreamed Projects
Data Analyst
Transformed complex datasets into actionable insights using SQL, Excel, and Power BI, streamlining decision-making across departments.
Data Scientist
Designed and deployed machine learning models for predictive analytics, enhancing fraud detection, sentiment analysis, and risk forecasting.
Business Analyst
Collaborated with stakeholders to identify key performance metrics and delivered strategic recommendations backed by data-driven storytelling.
Tell Me What You Want I Am Here For Your Help Lets Start A New Projects Tell Me What You Want I Am Here For Your Help Lets Start A New Projects
What I Do?
Here are the services I offer — where data meets creativity. From powerful visual analytics to predictive modeling and insightful storytelling, I turn raw data into impactful decisions using tools like SQL, Power BI, Python, and machine learning.
Data Cleaning & ETL
Processed and optimized data pipelines using Python, Pandas & SQL, reducing prep time by 30%.
Data Visualization
Built dashboards in Power BI & Tableau with DAX & Power Query for actionable insights.
Machine Learning Models
Developed predictive models using scikit-learn and PySpark with AUC scores above 0.9.
Cloud & Big Data
Managed 7M+ records using PySpark on Databricks, improving performance by 40%.
Statistical Analysis
Used T-tests, ANOVA & A/B testing to deliver insights that improved engagement by 17%.
App Development
Built a sentiment analysis app with real-time tweet analysis and 85% classification accuracy.
My Latest Work
Here are my projects— where you'll discover my creativity through data, code, and insightful analysis.
Algerian Forest Fire Prediction
Remote
Sept – Oct 2024
- Logistic Regression model with 92% accuracy.
- Time series ARIMA to forecast fire risk.
- Visualized fire weather indices with Seaborn.
Credit Card Fraud Detection
Remote
Aug – Dec 2024
- SMOTE + PCA + Isolation Forest used.
- F1-score with 92% recall, AUC 0.97.
- Classified 15% more fraud cases accurately.
Student Placement Classification
Remote
July – Nov 2024
- Used Random Forest (87% accuracy).
- Feature selection with SHAP, LIME, RFE.
- Increased placement strategy success by 10%.
California Housing Price App
Remote
June – Sept 2024
- Streamlit + Heroku app deployment.
- Improved R² from 0.58 to 0.72.
- Explainable AI with SHAP & LIME.
Fashion MNIST Classification
Remote
May – Aug 2024
- 91% accuracy using CNN with TensorFlow.
- Used data augmentation to boost accuracy.
- Evaluated results with confusion matrix.
Reddit Thread Summarizer
Remote
Feb – May 2024
- Built hybrid NLP model using BERT + TF-IDF.
- Interactive Streamlit interface for summaries.
- Improved readability and summary quality by 20%.
Sentiment Analysis App
Remote
Nov 2023 – Feb 2024
- Classified 10K+ tweets with 85% accuracy.
- WebSocket + TF-IDF powered real-time sentiment.
- Word clouds, charts, and live dashboards included.
Sentiment Analysis with RNN
Remote
Oct 2023 – Jan 2024
- LSTM + Attention on IMDB for 89% accuracy.
- LSTM outperformed GRU by 6% recall.
- Contextual word importance via attention.
Flight Delay Analysis
Remote
June – Sept 2023
- Analyzed 7M+ records in Databricks (PySpark).
- Built real-time delay predictor with XGBoost.
- Cut ETL time by 40% and improved predictions.
What People Say About Me
Reflects the positive impressions from mentors, peers, and instructors about my analytical mindset, dedication to learning, and potential to drive results through data.
"Her data models improved our prediction accuracy significantly. Great communication and technical skills throughout the project."
"Tamanna delivered clean, insightful dashboards that transformed our reporting. Extremely reliable and detail-oriented data analyst."
"Impressive work on sentiment analysis! The app works smoothly and provides real-time insights we depend on."
Connect Me
Want to meet ?
Ontario
Mail
maantamanna26@gmail.com
Contact Me
+1 (289) 623-9412
Latest Articles
Here is my latest Blog. Where you will find my creativity and my working talents.
Sentiment Analysis with Real-Time Insights
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Optimizing Business Intelligence with Power BI
During my internship as a Data Analyst at TTB, I worked on automating reporting dashboards using Power BI and Tableau. Using DAX and Power Query, I created interactive visualizations that reduced manual reporting time by 25%. I also implemented calculated measures to present key insights for senior management, aiding data-driven decision-making. By integrating data from SQL databases and Excel sources, I ensured real-time updates for stakeholder dashboards. This helped streamline operations and enhanced team productivity. The experience further sharpened my skills in data wrangling, ETL, and report design.
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Sentiment Analysis with Real-Time Insights
As part of a recent project at Lambton College, I developed a sentiment analysis application using a Logistic Regression model. The app processed over 10,000 tweets and classified them with 85% accuracy into positive, negative, or neutral sentiments. With TF-IDF vectorization and custom tokenizers, I increased accuracy by 15%. Real-time analytics were achieved through WebSocket integration and cloud storage solutions. This tool helped track live social sentiment trends and increased user engagement by 30%. Working on this app enhanced my skills in NLP, Flask deployment, and data visualization with Python.