Help & Supportcareers@gravityer.com
Data Science with less than a year in AI/ML & Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A Computer Science undergraduate passionate about Data Science, Artificial Intelligence, Project Management and Software Dev. With 6 months of combined internship experience as a Software Developer Intern and Data Analyst Intern, I have developed strong skills in Python, Django, NLP, machine learning model development, data processing, and visualization. My projects demonstrate practical application of AI/ML techniques for financial analysis, sentiment analysis, and predictive modeling.
Fast Nuces - (National University Of Computer & Emerging Sciences)
Bachelors · Computer Science
August 1, 2021 – June 30, 2025
The City School
O-Levels and A-Levels · Pre-Engineering Subjects
June 1, 2017 – May 31, 2021
KNYSYS
Software Developer Intern
December 1, 2025 – March 1, 2026
India
Elevvo
Data Analyst Intern
July 1, 2025 – August 1, 2025
India
Fyp - Smart Expense Control
June 25, 2026 – Present
Built an AI-powered financial assistant using Python, PySide6, OCR, and integrated LLMs (Groq, Gemini, Google Cloud Run, local) for real-time chat and receipt analysis, delivering responses 40% faster. Designed a credit-based chat interface and automated expense extractor, enabling multimodal financial insights from both text and image inputs, reducing the delays caused by manual entry upto 60%.
View ProjectAI - Social Media Data Sentiment Analysis
June 25, 2026 – Present
Developed a social media data sentiment model using Python, NLTK, Pandas, and TensorFlow to detect and interpret human emotions, processing 50K+ posts for training and evaluation. Achieved 82% accuracy in binary classification (Positive/Negative) through preprocessing, visualization, and training of a deep-learning based model, improving sentiment detection efficiency by 40%.
View ProjectData Science - House Price Prediction
June 25, 2026 – Present
Developed a machine learning model to predict house prices in Pakistani cities from a dataset having around 170K records using EDA, feature encoding, and various regression techniques, achieving upto 85% prediction accuracy. Assessed model performance with R² of 0.7(Linear Regression) and 0.9(Random Forest Regression) and RMSE; visualized 5+ key data trends and outliers using Seaborn and Matplotlib.
View ProjectFront-end Web Development
June 25, 2026 – Present
Developed 5 interactive UI projects using HTML/CSS/JS, optimizing performance by 20% and driving a 40% increase in user activities.
View ProjectAssociate Data Analyst In SQL
Datacamp
June 1, 2026 – Present
The Git & Github Bootcamp
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science, coupled with internships in both Software Development and Data Analysis, shows a broad interest in technology. The projects are diverse, ranging from AI-powered financial assistants to social media sentiment analysis and house price prediction, indicating a willingness to explore different domains within data science. The certifications further demonstrate a commitment to continuous learning and skill development. This breadth of experience and proactive learning aligns well with a dynamic, growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new technologies, as evidenced by diverse project work and certifications. Their ability to work on both data analysis and software development tasks suggests adaptability. The project descriptions indicate a focus on problem-solving and achieving measurable improvements (e.g., '40% faster responses', '82% accuracy', '15% improved forecast accuracy'). Collaboration skills are mentioned in the KNYSYS internship ('Collaborated on team development using Git').