• Developed machine learning algorithms for Data Science projects including Cab Cancellation Prediction and Retail Sales Predictions, enhancing accuracy by 30%, and significantly improving operational efficiency and decision-making processes.• Built models using scikit-learn boosting algorithms and KNN in the Cab Cancellation Prediction project.• Achieved 96% accuracy with Gradient Boosting on 43,430 entries, optimizing parameters via Grid Search.• Enhanced operational efficiency by predicting and mitigating cancellations.• Analysed data with pandas and numpy libraries and visualised using matplotlib libraries.• Developed TensorFlow-based deep learning algorithms for Yelp.com reviews in Sentiment Analysis.• Using scikit-learn for preprocessing and evaluation.• Achieved 85% accuracy on 10,000 reviews, used nltk library for text pre-processing.• Visualised with top 30 frequent words with wordcloud library.• Provided insights into customer sentiment and supported strategic decision-making through ample data analysis.• Created and compared decision tree and random forest models for Drug Store Sales Predictions using scikit-learn.• Utilized 1,017,209 entries, optimizing model performance with Grid Search and visualizing results with matplotlib.• Secured a leading random forest model with 95% accuracy, improving sales forecasting and business profitability.• Implemented advanced techniques such as randomized search for hyperparameter optimization • Used scikit-learn for model evaluation and validation.

Worked as data scientist to build and deploy a classification model for predicting network asset transfer eligibility and optimizing performance, achieving significant improvements in accuracy, cost reduction, and network efficiency. Utilized SQL, Python, and machine learning algorithms, deploying the best model and automating retraining for continuous performance enhancement.• Led a data science project focusing on building and deploying a classification algorithm.• The project aimed to predict and classify network asset transfer eligibility.• It also focused on optimizing network performance.• Utilized results from data analysis as the primary input for model building. • Retrieved and pre-processed datasets using SQL, Python, and pandas.• Developed, trained classification models with algorithms like Logistic Regression, Decision Trees, and Random Forests.• Evaluated model performance using metrics including accuracy, precision, recall, and F1 score.• Deployed the best-performing model into production using cloud services.• Monitored its performance and automated the retraining process based on new data and performance metrics.• Achieved a 40% improvement in prediction accuracy for network asset transfer eligibility.• Reduced invalid asset transfer costs by 35%.• Increased efficiency in network activations and service class upliftment.

Worked as a data analyst, responsible for the process of extract, analyze, validate, manipulate and translate network assets data into visualization reports and machine consumable format using MapInfo, QGIS and Mapbasic scripts.Technical Responsibilities:• Addressed high costs of network asset transfer through virtual verification processes.• Resolved data inconsistencies and errors for poles.• Retrieved network design data from central databases and vendor portals using SQL. • Transformed .csv data to MapInfo files to analyse geographical pole data.• Corrected network data using MapInfo and MapBasic scripts. • Integrated with Google Maps and SpatialNet for accuracy.• Identified network elements for asset transfer and service class upliftment.• Created Tableau reports and dashboards to highlight differences in Service Area Management maps for business review.• Reduced field inspection costs by 95% • Eliminated 30% of invalid transfer costs by streamlining asset transfer processes.• Increased network activations by 60% and expanded NBN network connections at ad-hoc locations.Team Lead Responsibilities:• Developed stand-alone tools using MapBasic scripting to automate data validation, producing HTML and Excel reports, and identified automation opportunities with proof-of-concept development.• Defined processes for data cleansing, engaged stakeholders, and coordinated requirements between clients and teams to align solutions with business needs.• Managed and mentored a team of over 15 members, implementing and improving development best practices, while providing subject matter expertise.• Assessed project health through reporting, managed risks and conflicts, and facilitated cross-team communication to ensure alignment with business objectives and specifications.

Worked as a developer to process XML data and produce performance report. I had to attend workshops to collect requirements and develop solutions following Agile methodology.Responsibilities:• Developed Node.js scripts to accept XML network activity feeds from multiple systems and applications.• Created an application in Scala for parsing XML data feeds and producing network performance reports.• Gathered requirements, engaged with business analysts, and coordinated with testing and production support teams.• Quickly learned Node.js scripting and Scala programming to meet urgent project requirements.• Delivered high-efficiency solutions under tight deadlines.Highlights:- Learnt node JS scripting and Scala programming in a short time to fit in the urgent requirement and was able to deliver with high efficiency

Responsibilities:• Developed an enterprise billing application in Oracle using PL/SQL.• Created UNIX shell scripts to automate deployments in production.• Developed PL/SQL scripts for migrating databases to the latest version.• Gathered requirements and mentored junior team members.• Coordinated with testing teams, application support, and managed configuration and defect processes.

Responsibilities:• Developed stand-alone tools for a telecom company to produce performance reports of network devices.• Created applications to interface with ticketing systems.• Developed applications to interface with inventory systems.• Gathered requirements for various projects.• Coordinated with testing teams to ensure quality and functionality.• Ensured seamless integration between systems and tools.

Responsibilities:• Developed J2EE and Hibernate applications for activating business processes.• Created MySQL database stored procedures.• Developed a utility using Java (JFreeChart) and Perl script to read data from files and generate report charts.• Gathered requirements and coordinated with testing teams.