Help & Supportcareers@gravityer.com
Data Science with less than a year in telecom analytics and AI/ML projects.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science undergraduate with production analytics experience in high-volume telecom MIS reporting. Consolidated fragmented country and product reporting into a single decision-ready analytics layer, standardized multi-currency revenue into LKR, and improved how teams track trends, compare markets, and prioritize investment. Combines Python, SQL, and BI delivery with a practical business-first mindset.
Sri Lanka Institute of Information Technology (SLIIT)
BSc (Hons) · Information Technology, Specialization in Data Science
July 1, 2024 – Present
JAM - Mobile Monetization Company
Data Analyst Intern
September 1, 2025 – Present
India
Multi-Agent Stock Analysis and Trading Pipeline
June 1, 2026 – Present
Built a multi-agent workflow for live stock analysis and Buy/Sell recommendations. Designed modular orchestration for reproducible agent-based analytics tasks.
LSTM Sentiment Classifier for Movie Reviews
June 1, 2026 – Present
Developed an end-to-end NLP pipeline from preprocessing to model evaluation. Implemented tokenization, embeddings, and LSTM sequence modeling for binary sentiment classification.
Generative AI Chatbot
June 1, 2026 – Present
Built a real-time chatbot with persistent chat history using Streamlit, LangChain, and Llama 3.3. Implemented structured prompt and response flow for consistent user interaction.
Autism Prediction Pipeline
June 1, 2026 – Present
Trained and benchmarked Decision Tree, Random Forest, and XGBoost models on imbalanced clinical-style data. Applied SMOTE to improve class balance and strengthen predictive reliability.
Exploratory Data Analysis for Machine Learning
Coursera
June 1, 2026 – Present
AI/ML Engineer - Stage 1
SLIIT Code
June 1, 2026 – Present
AI/ML Engineer - Stage 2
SLIIT Code
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from traditional machine learning (sentiment analysis, autism prediction) to cutting-edge generative AI (multi-agent systems, chatbots), indicates a strong curiosity and willingness to explore new technologies, which is a positive cultural fit for an innovative data science team. Their academic background and certifications further support a continuous learning mindset. The internship experience, though limited in duration, shows an ability to contribute to a business environment. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a business-first mindset, evidenced by their internship experience in consolidating reporting structures and standardizing revenue for executive analysis. Their project descriptions suggest an ability to break down complex problems into manageable tasks (e.g., modular orchestration, end-to-end NLP pipeline). The focus on automating workflows indicates an operational efficiency mindset. However, without direct interview data, assessing stress handling, logical reasoning, and team collaboration is not possible.