Juny Maria John

Self-motivated, aspiring data professional with an MSc in Data Analytics and 2+ years of experience as an Associate Software Engineer. Equipped with strong skills in Python, Tableau, SQL, and MS Office tools. Seeking to leverage my academic and practical knowledge in a full-time data role to contribute to organizational growth.

• IEUK 2024: On-Demand Technology ,

Bright Network - London, England - [ July 2024 ]

• SQL for Data Science

Great Learning - [ June 2024 ]

• Accenture North America: Data Analytics and Visualization Job Simulation

Forage- [ May 2024 ]

• Python Full Stack Certification

Faith Infotech Technopark, Thiruvananthapuram - [ February 2020 ]

CRM-Driven Optimisation: Bank Term Deposit Subscription via Telemarketing - June – September 2023

- It involves data analytics techniques to identify the optimal predictive model for term-deposit subscriptions, utilizing real-world datasets. The approach utilized the Gartner’s analytical value escalator, SEMMA framework, ML algorithms, sampling methods, Python and Tableau, to identify potential customers.

GLH analysis for FE and Six-form colleges in UK using SAS Enterprise Guide - May 2023

- Conducted analysis to identify various factors influencing Guided Learning Hours (GLH). Techniques included feature engineering, One-way and Two-way ANOVA, post hoc tests such as Tukey and REGWQ and regression testing, to evaluate its impacts on GLH.

Titanic survival prediction dataset analysis using Python and PySpark - May 2023

- Performed data cleaning, extracted features, compare models with performance metrics to determine the best prediction classification model.

Framingham dataset analysis using SAS Enterprise Miner workstation - April 2023

- Explored various ML algorithm variations and techniques using imputations, Principal component analysis, transformation nodes and variable selection using SEMMA Framework to develop best model for predicting the probability of defaulting on survival rate to obtain insights on cardiovascular disease risk prediction.

Forecasting on Cancer Wait Time for NHS Scotland Bed Occupancy Rate - April 2023

- Developed an interactive dashboard using Tableau and performed forecasting using Excel to identify patterns and obtain insights using Time-Series Analysis, Exponential Smoothing, and Moving averages and insights.

Datamart for Midlands Theatre Company using Oracle (SQL) - December 2022

- Designed and implemented streamlined data management and reporting for a theatre company to efficiently manage its ticket sales data, leading to better decision-making and improved business insights.