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Hi, I’m Valarmathi Ganessin. I’m a production-ready Data Scientist based in Watford, UK, with internship experience across four companies and 15+ real-world projects. I specialize in supervised and unsupervised learning, time series forecasting, and foundational deep learning, and I’m proficient at building end-to-end ML pipelines and translating outputs into Power BI dashboards that inform strategic decisions. I’m passionate about solving business problems through predictive modeling, sentiment analysis, and anomaly detection, and I enjoy clear, data-driven storytelling with stakeholders. I’m a strong communicator with experience in education and stakeholder engagement, and I love turning complex analyses into actionable insights that drive impact for teams and organizations.…Hi, I’m Valarmathi Ganessin. I’m a production-ready Data Scientist based in Watford, UK, with internship experience across four companies and 15+ real-world projects. I specialize in supervised and unsupervised learning, time series forecasting, and foundational deep learning, and I’m proficient at building end-to-end ML pipelines and translating outputs into Power BI dashboards that inform strategic decisions. I’m passionate about solving business problems through predictive modeling, sentiment analysis, and anomaly detection, and I enjoy clear, data-driven storytelling with stakeholders. I’m a strong communicator with experience in education and stakeholder engagement, and I love turning complex analyses into actionable insights that drive impact for teams and organizations.

Valarmathi Ganessin

Data Scientist, Data Analyst, Full Stack Developer, +4

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Hi, I’m Valarmathi Ganessin. I’m a production-ready Data Scientist based in Watford, UK, with internship experience across four companies and 15+ real-world projects. I specialize in supervised and unsupervised learning, time series forecasting, and foundational deep learning, and I’m proficient at building end-to-end ML pipelines and translating outputs into Power BI dashboards that inform strategic decisions. I’m passionate about solving business problems through predictive modeling, sentiment analysis, and anomaly detection, and I enjoy clear, data-driven storytelling with stakeholders. I’m a strong communicator with experience in education and stakeholder engagement, and I love turning complex analyses into actionable insights that drive impact for teams and organizations.…Hi, I’m Valarmathi Ganessin. I’m a production-ready Data Scientist based in Watford, UK, with internship experience across four companies and 15+ real-world projects. I specialize in supervised and unsupervised learning, time series forecasting, and foundational deep learning, and I’m proficient at building end-to-end ML pipelines and translating outputs into Power BI dashboards that inform strategic decisions. I’m passionate about solving business problems through predictive modeling, sentiment analysis, and anomaly detection, and I enjoy clear, data-driven storytelling with stakeholders. I’m a strong communicator with experience in education and stakeholder engagement, and I love turning complex analyses into actionable insights that drive impact for teams and organizations.

Available to hire

Hi, I’m Valarmathi Ganessin. I’m a production-ready Data Scientist based in Watford, UK, with internship experience across four companies and 15+ real-world projects. I specialize in supervised and unsupervised learning, time series forecasting, and foundational deep learning, and I’m proficient at building end-to-end ML pipelines and translating outputs into Power BI dashboards that inform strategic decisions. I’m passionate about solving business problems through predictive modeling, sentiment analysis, and anomaly detection, and I enjoy clear, data-driven storytelling with stakeholders.

I’m a strong communicator with experience in education and stakeholder engagement, and I love turning complex analyses into actionable insights that drive impact for teams and organizations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist at Intelligence Tech Solution

November 1, 2025 - Present

Designed and developed a trading bot prototype using LSTM deep learning models for financial time series forecasting. Enhanced LSTM architecture with dropout regularization, gradient clipping, and optimized sequence length to improve robustness. Implemented walk-forward validation and classification mode for improved directional accuracy. Achieved measurable improvements: 18% performance gain compared to baseline and reduced drawdown volatility by 5–7%. Built a reproducible ML pipeline framework with configurable config.yml for scalability and future deployment readiness. Delivered outputs including backtester summary, paper trader summary, live trader summary, plots, text outputs, and video walkthrough. Completed project ahead of deadline (within 3 days vs. Monday target), exceeding client expectations.

Junior Software Developer at UKPC

October 1, 2022 - December 31, 2022

Built Python scripts for automation: JSON/JSONL conversion, PDF → text/image, email domain extraction. Implemented data cleaning (stopwords, whitespace), phrase annotation, and PDF merging/splitting. Configured Prodigy annotation software and Python runtime environments. Customized SharePoint branding (HTML, CSS, Designer) and executed PowerShell automation. Migrated content to SharePoint Online; created technical documentation and troubleshooting guides. Applied Microsoft Power BI for reporting and visualization.

Junior Software Developer / Data Analyst at Base2

April 1, 2022 - June 30, 2022

Developed applications using ASP.Net Core/MVC, C#, JavaScript, HTML5, CSS, SQL Server. Managed SharePoint sites, users, and groups with PowerShell scripts; improved navigation with Promoted Links. Enhanced search functionality in large SharePoint lists using SP Services + jQuery. Conducted data analysis with SQL Server & Excel, generating performance reports and efficiency insights. Applied Power BI dashboards for visualization and stakeholder reporting. Explored data preprocessing and feature extraction, laying groundwork for later machine learning projects. Identified issues, drove corrective actions, and optimized system performance.

Maths TA / Cover Supervisor / Teacher at Multiple Schools across Hertfordshire via Teaching Agencies

January 1, 2017 - December 31, 2025

Delivered mathematics lessons across KS3–KS5, adapting to diverse student needs. Planned lessons, conducted unit tests, marked assessments, and provided feedback to drive progress. Supported GCSE exam preparation through targeted revision sessions and mentoring. Acted as exam invigilator, ensuring compliance with GCSE protocols and safeguarding standards. Consulted with parents and teachers to align learning strategies and address challenges. Maintained classroom discipline and student engagement across multiple schools. Built transferable skills in lesson planning, communication, mentoring, and performance evaluation.

Data Scientist Intern at Intelligence Tech Solution

September 1, 2025 - Present

Designed and implemented CNNs for exploratory image classification on custom datasets. Enhanced model robustness through data augmentation and placeholder handling for noisy inputs. Applied transfer learning using pretrained TensorFlow models to accelerate training and improve generalization across diverse datasets. Performed bias correction and exploratory data analysis to refine input features and interpret feature importance.

Data Scientist Intern – Client Project at Intelligence Tech Solution

November 1, 2025 - Present

Designed and deployed a production-ready trading bot integrating LSTM-based time-series forecasting. Enhanced LSTM architecture with dropout, gradient clipping, and optimized sequence length. Implemented walk-forward validation and directional accuracy focus. Achieved an 18% improvement over baseline with reduced drawdown volatility. Delivered a reproducible deployment pipeline and comprehensive deliverables including backtester and live-trader outputs.

Data Scientist Intern at Unified Mentor

July 1, 2025 - September 30, 2025

Project 1: Employee Attrition Intelligence — executed full-cycle data cleaning, profiling, feature engineering, and built classification models (Logistic Regression, Decision Trees, Random Forest, SVM, KNN) with L1/L2 regularisation and multicollinearity checks (VIF); produced HR attrition dashboards in Power BI. Project 2: Google Apps Analytics – App Store Intelligence & Predictive Modeling; performed segmentation with K-Means++, Hierarchical Clustering, PCA and built ensemble regression models (Install R² = 0.82, Revenue R² = 0.99).

Data Scientist Intern at Envision Virtue

November 1, 2024 - January 31, 2025

Project 1: Salary Prediction & Job Market Analytics – built regression pipelines (Linearity checks, residual analysis, skewness correction, multicollinearity via VIF) with Linear, Ridge, Lasso, ElasticNet; delivered Power BI dashboards for HR compensation insights. Project 2: Climate Sentiment & Engagement Modeling – NASA Facebook comments – applied NLP (TF‑IDF, NMF topic modeling) and Isolation Forest for anomaly detection; built models to predict engagement and visualize sentiment trends in dashboards.