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I am a dynamic data scientist with a robust background in deep learning and predictive analytics. I have a proven ability to fine-tune transformer models and develop data-driven solutions that enhance operational efficiency. I am adept at leveraging Python and advanced data science libraries to extract actionable insights from complex datasets. I am committed to driving innovation and delivering high-impact results in fast-paced environments.…I am a dynamic data scientist with a robust background in deep learning and predictive analytics. I have a proven ability to fine-tune transformer models and develop data-driven solutions that enhance operational efficiency. I am adept at leveraging Python and advanced data science libraries to extract actionable insights from complex datasets. I am committed to driving innovation and delivering high-impact results in fast-paced environments.

Affan Ansari

Data Scientist, Data Analyst, Developer, +1

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I am a dynamic data scientist with a robust background in deep learning and predictive analytics. I have a proven ability to fine-tune transformer models and develop data-driven solutions that enhance operational efficiency. I am adept at leveraging Python and advanced data science libraries to extract actionable insights from complex datasets. I am committed to driving innovation and delivering high-impact results in fast-paced environments.…I am a dynamic data scientist with a robust background in deep learning and predictive analytics. I have a proven ability to fine-tune transformer models and develop data-driven solutions that enhance operational efficiency. I am adept at leveraging Python and advanced data science libraries to extract actionable insights from complex datasets. I am committed to driving innovation and delivering high-impact results in fast-paced environments.

Available to hire

I am a dynamic data scientist with a robust background in deep learning and predictive analytics. I have a proven ability to fine-tune transformer models and develop data-driven solutions that enhance operational efficiency.
I am adept at leveraging Python and advanced data science libraries to extract actionable insights from complex datasets. I am committed to driving innovation and delivering high-impact results in fast-paced environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

Work Experience

Data Scientist at NullClass

June 1, 2025 - Present

Fine-tuned Hugging Face transformer models on over 120,000 samples, achieving 91% task-specific accuracy using deep learning architectures. Integrated models with OpenAI APIs to reduce system response time to under 1 second and maintained 99.5% uptime by leveraging Python and data processing pipelines.

Data Science Intern at Unified Mentor Company

February 28, 2025 - August 6, 2025

Analyzed global population trends with machine learning and built a 99% accurate predictive model using Linear Regression. Developed a predictive model for laptop prices with XGBoost, achieving an R-squared score of 0.903 and improving accuracy through feature engineering. Trained more than 10 analysts in advanced statistical and data mining techniques to enhance data-driven decision making.

Data Analyst at CodeAlpha Company

December 31, 2024 - August 6, 2025

Analyzed sales data to identify cost-effective advertising channels which reduced advertising costs by 15% while maintaining sales. Implemented a Random Forest Regressor for car price prediction achieving 90% accuracy, enabling data-driven pricing decisions and reducing overpricing by 15%. Collaborated with senior analysts to refine data visualization techniques, creating user-friendly reports that improved response times to market trends by 18%.

Data Scientist at NULLCLASS

June 1, 2025 - Present

Fine-tuned Hugging Face transformer models on over 120,000 samples, achieving 91% task-specific accuracy. Integrated models with OpenAI APIs, reducing system response time to under 1 second and maintaining 99.5% uptime.

Data Science Intern at UNIFIED MENTOR

February 28, 2025 - August 26, 2025

Analyzed global population trends using machine learning and built a 99%-accurate predictive model with Linear Regression. Designed a predictive model for laptop prices with XGBoost, improving accuracy by 5% through feature engineering. Trained over 10 analysts in advanced statistical methods and data mining techniques to enhance data-driven decision-making.

Data Analyst at CODEALPHA

December 31, 2024 - August 26, 2025

Analyzed sales data to identify cost-effective advertising channels, reducing costs by 15% while maintaining sales. Implemented a Random Forest Regressor for car price prediction with 90% accuracy, enabling data-driven pricing decisions. Collaborated with senior analysts to refine data visualization techniques, improving market trend response times by 18%.

Data Scientist at NULLCLASS

June 1, 2025 - Present

Fine-tuned Hugging Face transformer models on 120,000+ samples, achieving a 91% task-specific accuracy. Integrated models with OpenAI APIs, reducing system response time to under 1 second and maintaining 99.5% uptime.

Data Science Intern at Unified Mentor

February 1, 2025 - September 19, 2025

Analyzed global population trends using machine learning, building a 99%-accurate predictive model with Linear Regression. Designed a predictive model for laptop prices with XGBoost, achieving an R-squared score of 0.903 and improving accuracy by 5% through feature engineering. Trained 10+ analysts in advanced statistical methods and data mining techniques, enhancing data-driven decision-making.

Data Analyst at CodeAlpha

December 1, 2024 - September 19, 2025

Analyzed sales data to identify cost-effective advertising channels, reducing advertising costs by 15% while maintaining sales performance. Implemented a Random Forest Regressor for car price prediction, achieving 90% accuracy and enabling data-driven pricing decisions. Collaborated with senior analysts to refine data visualization techniques, creating user-friendly reports that improved response times to market trends by 18%.