saikamal

saikamal

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Data Scientist | Product & Business Analytics | SQL • Python • Power BI • BigQuery | A/B Testing | User Insights | Data Pipelines
Walsall, England, United Kingdom
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Full-time jobs
Starting at GBP45k/year ~USD59.5k/year
Flexible work
Starting at GBP60/hour ~USD79.3/hour
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Résumé

Jobs verified_user 0% verified
  • ACRELEC
    Analyst
    ACRELEC
    Mar 2025 - Current (1 year 8 months)
    -Delivered second-line support for 10,000+ Oracle EBS & Cloud Application users, achieving 95% SLA compliance through advanced SQL/PLSQL optimisation.
    -Resolved 400+ incidents per month, reducing average resolution time by 25% using exploratory data analysis, trend analysis, and root-cause techniques.
    -Developed and automated SQL/PLSQL alerts, scripts, and access-control programmes, strengthening audit readiness and reducing manual checks.
    -Enhanced 15+ knowledge base articles in ServiceNow/Halo, enabling 15% faster resolution across global teams.
    -Corrected large-scale data discrepancies impacting 1M+ weekly customers, improving product delivery decisions and service reliability.
    -Trained 5 cross-functio
  • ILANDER TECHNOLOGIES PRIVATE LIMITED
    Associate Data Analyst
    ILANDER TECHNOLOGIES PRIVATE LIMITED
    Oct 2021 - Nov 2022 (1 year 2 months)
    -Managed and monitored Apache Airflow DAGs, reducing pipeline failures by 30% and improving data
    workflow reliability.
    -Queried and analysed 531M+ S3 records using Amazon Athena and SQL to support data-driven decision-making for digital media teams.
    -Enhanced the BBC Digital Media Analytics Dashboard, improving KPI visibility and boosting decision-making efficiency by 25%.
    -Conducted A/B testing, funnel analysis, retention analysis and customer journey optimisation for e-commerce workflows using Piano Analytics.
    -Built Tableau dashboards covering campaign performance, audience segmentation and user interaction, resulting in more informed product decisions.
    -Performed rigorous data quality checks, r
Education verified_user 0% verified
  • University of Hertfordshire
    University of Hertfordshire
    University of Hertfordshire
    Jan 2023 - Dec 2025 (3 years)
  • University College of Engineering Narasaraopet JNTUK
    University College of Engineering Narasaraopet - JNTUK
    University College of Engineering Narasaraopet JNTUK
    Jan 2016 - Dec 2020 (5 years)
Projects (professional or personal) verified_user 0% verified
  • F
    FINE-TUNING BERT FOR SENTIMENT ANALYSIS ON IMDB MOVIE REVIEWS: A METHODOLOGICAL APPROACH
    Jul 2024 - Aug 2024 (2 months)
    LLMs, including BERT, continue to revolutionize the domain of NLP and, generally, natural language understanding. BERT, which is developed by Google, uses a transformer architecture for pre-training of deep bidirectional representations (Roccabruna et al., 2022). This means that it is able to the left and thereby improving its chances of comprehending complex contextual meanings from a word. The main focus of this task is to perform sentiment analysis on the movie review data taken from IMDb using the IMDb movie reviews dataset, in which the model should work as a BERT-based model to understand the content of the text and be able to classify its sentiment accurately.
  • S
    Spaceship Titanic Kaggle Challenge
    Mar 2024 - May 2024 (3 months)
  • H
    House Price Prediction using Machine Learning
    Aug 2023 - Sep 2023 (2 months)
    House Price Prediction using Machine Learning As part of my Master’s program in Data Science at the University of Hertfordshire, I developed a machine learning model to predict house prices based on key features such as location, size, number of rooms, and other market factors. Key Highlights: Utilized Python for data preprocessing, feature engineering, and exploratory data analysis (EDA). Applied machine learning algorithms like Linear Regression, Decision Trees, and Random Forest to build and optimize predictive models. Evaluated model performance using metrics such as R-squared, Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE) to ensure accuracy. Visualized data insights and predictions using Power BI and Matplotlib, improvi