Hi, I am Sumayya Samreen
Artificial Intelligence
Master’s in Artificial Intelligence, specializing in Machine Learning, Deep Learning, and Natural Language Processing. Practical experience in enhancing data understanding and operational efficiency through projects. Strong technical skills in Python programming and data analysis. Excellent communication and teamwork skills, with experience in both industry and academia. Passionate about leveraging AI to drive positive social impact.
Education
ROYAL HOLLOWAY, UNIVERSITY OF LONDON
Masters in Artificial Intelligence
Key Modules:
- Artificial Intelligence (AI) &Autonomous Intelligent Systems
- Deep Learning (DL) &Machine Learning (ML)
- Natural Language Processing (NLP)
- Experimental Design.
PRESIDENCY UNIVERSITY
Bachelor of Technology in Computer Engineering
Key Modules:
- Data Analysis&Data Structures and Algorithms
- Database Management System
- Internet of Things (IoT) & Big Data Analytics
- Cloud Computing and Services
- Data Warehouse and Data Mining
Work Experience
SUPRAM INDUSTRIES
Customer Sentiment Analysis and Data Visualization
- Launched an innovative Customer Sentiment Analysis project aimed at meticulously dissecting customer reviews of the company’s range of products, employing advanced Natural Language Processing techniques to extract and interpret customer attitudes.
- Expertly classified customer sentiments into clear, distinct categories of positive, negative, and neutral, thereby providing a more nuanced understanding of customer opinions and their implications for the business.
- Uncovered critical insights into the correlation between customer sentiments and product purchases, thus empowering the company to tailor their product strategy and marketing efforts more effectively.
- Produced a significant impact on the company’s understanding of its customer base, contributing to improved product development, marketing strategies, and overall customer satisfaction.
BRAIN TOWER
Web Scraping and Data Pre-Processing Intern
Focus:
- Developed and executed advanced web scraping strategies to extract comprehensive datasets from numerous high-traffic shopping websites across Middle Eastern countries. Preprocessed raw data to enhance readiness for analysis, which streamlined workflow and cut down processing time by 25%.
- Visualized datasets using industry-standard tools and techniques, which significantly improved understanding of data patterns and trends for all stakeholders. Collaborated with a team of data scientists to integrate the cleaned and preprocessed data into the company’s existing datasets, increasing the overall data volume by 40%.
- Contributed to the design and implementation of data-driven decision-making processes, leading to a measurable increase in the company’s operational efficiency and productivity..
Meditron
AI Pre-Sales Support Engineer
Focus:
- Educating customer about importance of AI automation for business work flows, using chatbots, voice agents & work flow automation.
Skills
Technical Skills:
Python Programming, Data Visualization, Data Analysis, Artificial Intelligence, Machine Learning, Deep Learning, MySQL, Microsoft Office
Soft Skills:
Effective written and verbal communication, Leadership, Teamwork, Time Management, Attention to Detail, Problem-solving, Adaptability, Planning and Organization, Data Reporting, Customer Service
Projects
Housing Prices Prediction :
Capstone Project.
Predicting Housing Prices using Linear Regression, Ridge Regression and Online Machine Learning.
Face Recognition for Cyber Security
Capstone Project.
Utilized facial recognition technology to verify individual identities.
Implemented real-time face detection and comparison with a database of known faces for attendance tracking and data storage.
Interactive Web App for Twitter Analysis
Created an interactive web-based platform for real-time tweet analysis. Enabled instant extraction of tweets on any given topic at any given time.
Performed sentiment analysis on each tweet individually and utilized word cloud visualization to understand the public reaction and provide a summary of the analyzed topic.
Data Visualization on ‘Covid19 and its Effect’
Collected and cleaned data for the year 2020 related to Covid-19. Identified the worst affected countries.
Utilized the Python library ‘folium’ to create leaflet maps highlighting the impact of COVID-19 on various industries and sectors in each country.
Predicting Credit Card Approval
Analyzed a dataset from the UCI machine learning repository to automate credit card approval processes, assisting bankers in assessing consumer credit.
Applied Logistic Regression and identified the best-performing model for credit evaluation.
Certification
- Social Media Data Analytics by University of Washington
- Application of Machine Learning and Deep Learning by Presidency University Bangalore
- Supervised Learning with scikit-learn by DataCamp
- Applied Plotting, Charting and Data Representation in Python by University of Michigan
- Finding Hidden Messages in DNA (BioinformaticsI) by UC San Diego
- Introduction to Artificial Intelligence by IBM Object Oriented Programming in Java UC San Diego Sentiment Analysis in Python by DataCamp
- Introduction to Python by Data Science for Everyone by DataCamp
Contact Me
Email: sumayya250900@gmail.com