Mohammed Tauheed Shariff
Aspiring Data Scientist | Data Analyst | Machine Learning Enthusiast
Cardiff
Summary
Recent MSc Data Science graduate with a UK Graduate Visa, specializing in Machine Learning, NLP, and Data Analytics. Proficient in Python, R, SQL, and AWS. Experienced in predictive modeling, statistical analysis, and business intelligence. Applied skills in real estate, healthcare, and e-commerce industries. Demonstrated ability to analyze complex datasets, develop accurate ML models, and provide actionable insights. Passionate about leveraging data and AI to tackle real-world challenges and drive business impact.
Overview
3
3
years of professional experience
6
6
years of post-secondary education
Work History
Junior Data Analyst
Propleader
Bangalore
09.2022 - 08.2023
- Conducted data cleaning and preprocessing on 10K+ real estate transactions, improving data accuracy by 20%.
- Performed exploratory data analysis (EDA) to identify trends in property prices and customer preferences, leading to data-driven pricing strategies and a 15% revenue increase.
- Developed interactive dashboards, providing insights for better decision-making.
- Analyzed customer feedback and behavior data to refine marketing strategies, contributing to a 20% increase in customer satisfaction scores.
- Collaborated with cross-functional teams to provide actionable insights, contributing to a 15% improvement in lead conversion rates .
Digital Marketing Executive
Sky Crew Aviation
Bangalore
08.2020 - 03.2022
- Applied customer behavior analytics (Google Analytics) to optimize campaigns, reducing cost-per-click (CPC) by 25% and improving lead conversion by 20%.
- Increased social media engagement by 35% through data-driven content strategies and targeted campaigns.
- Conducted A/B testing and implemented data-driven strategies to enhance marketing ROI.
- Created reports on digital marketing performance, providing insights for executive decision-making.
Education
Master of Science - Data Science
University of South Wales
Cardiff, United Kingdom 05.2023 - 10.2024
B.Tech - Mechanical Engineering
Reva University
Bangalore, India 06.2016 - 07.2020
Skills
Data Analysis with Python and R
Data Analysis: Exploratory Data Analysis (EDA), Feature Engineering, Statistical Analysis
Tools & Platforms: AWS, SAS, Google Analytics, JIRA
Soft Skills: Problem-Solving, Cross-Functional Collaboration, Critical Thinking, Effective Communication
Data Visualization: Power BI, Tableau, Matplotlib, Seaborn, Google Data Studio
Machine Learning: Supervised & Unsupervised ML, Deep Learning, NLP, Time-Series Forecasting, Predictive Modeling, Model Optimization, Sentiment Analysis
Timeline
Master of Science - Data Science
University of South Wales
05.2023 - 10.2024
Junior Data Analyst
Propleader
09.2022 - 08.2023
Digital Marketing Executive
Sky Crew Aviation
08.2020 - 03.2022
B.Tech - Mechanical Engineering
Reva University
06.2016 - 07.2020
Personal Projects
Social Media Sentiment Analysis of the Israel-Palestine Conflict (MSc Dissertation)
(06/2024 - 10/2024)
- Analyzed 1.8M Reddit comments using NLP (VADER, LDA, NRC Emotion Lexicon), classifying 45% as negative, 30% as neutral, and 25% as positive.
- Identified 6.5% misinformation and forecasted sentiment trends using Facebook Prophet.
- Provided insights into public opinion trends and misinformation patterns, aiding better understanding of online discourse.
Predictive Modeling for Breast Tumor Classification
(11/2023 - 02/2024)
- Developed a machine learning model to classify breast tumors as malignant or benign, improving early detection rates with 98.24% accuracy.
- Conducted feature engineering using 10 key tumor characteristics, achieving a recall score of 89.66%.
- Implemented deep learning techniques to enhance model performance and classification accuracy.
Real-Time Object Detection System Using YOLOv5
(07/2024 - 09/2024)
- Developed an AI-powered system to detect and classify objects in real-time, improving automation and security applications.
- Enhanced model accuracy through data processing, image augmentation, and fine-tuning parameters.
- Designed a user-friendly web interface using Flask, allowing real-time interaction with the detection system.