Naganandhini Dhamodaran
Austin,USA
Summary
Data enthusiast and driven professional with a background in Data science and Business Analytics complemented by civil engineering, seeking a data analyst role to leverage expertise in statistical analysis, Data visualization, dashboards design and contribute to business solutions to drive informed decision-making.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Data Analyst
Numpy Ninja
Austin, USA
09.2024 - Current
- Developed data-driven visuals to gather responses from stakeholders and boost process efficiency.
- Designed KPI dashboard for ICU sepsis patients using Tableau features like calculated fields, Level of Detail expressions, filters, parameters, and sets to enhance operational efficiency by 30%.
- Developed a detailed dashboard by determining SIRS through vitals and clinical data, enabling stakeholders to track patients at higher risk of sepsis progression.
- Analyzed demographic data showing extended hospital stays tied to sepsis in older male patients.
- Leveraged Python, Pandas, and NumPy libraries for efficient data cleaning.
- Specialized in utilizing matplotlib and seaborn for deriving insightful data visualizations during exploratory analysis.
- Utilized SQL queries to extract and prepare data from a PostgreSQL relational database.
Data Analyst
PSG Builders and Developers LLC
Austin, USA
11.2022 - 03.2023
- Data collecting, cleaning, transforming and aggregating data within Tableau to ensure accuracy and relevance for analysis
- Gathered User requirements from stake holders thereby designed and delivered interactive and user-friendly dashboards that enabled stakeholders to explore data and gain insights independently
- Identifying and visualizing trends & patterns in data using Tableau
- Generated scheduled reports and provide ad-hoc analysis using Tableau, leading to a 20% improvement in business decision-making efficiency and observability
- Actively seeks and implements new technologies to improve product performance, reliability, and availability
Methods Engineer
VSL India Pvt LTD
- Streamlined project documentation and optimized workflow efficiency by devising and implementing Method Statements, detailed construction drawings, and comprehensive checklists using Microsoft Excel, ensuring accurate execution of casting and erection tasks
- Comprehensive knowledge of project controls principles, includes expertise in cost management, estimating and scheduling
- Adaptable engineer with a strong track record of learning new engineering methods and incorporate into work processes
- Orchestrated Gantry launching and assembly kinematics to streamline procurement and supply management, resulting in a 25% increase in project efficiency and 100% on-time delivery
- Ensures consistent monitoring and operations across large-scale systems
- Led collaboration with site and office teams to resolve practical casting issues, implementing strategic solutions that improved project efficiency and outcomes
- Developed strategic Methodology and Casting Reports for clients and contractors, improving communication and providing project-specific insights, resulting in a 15% boost in overall project efficiency
- Designed post-tensioned slabs using RAM software for tender and ongoing projects, contributing to structural integrity and project success
- Conducted quantitative analysis, design, and calculation reports for involved projects
- Dedicated to improving technical solutions through feedbacks and best practices
- Effective in time management and a team worker successful in project completion
Education
Post Graduate Program - Data Science and Business Analytics
MCCombs School of Business, University of Texas
Austin, Texas, USABachelors - Civil Engineering
Thiagarajar College of Engineering
IndiaSkills
- Tableau
- Power BI
- PostgreSQL
- SQL Server
- Python
- Jupyter
- Microsoft Excel
- Hypothesis testing
- A/B Testing
- ANOVA
- Multivariate Analysis
- EDA
- Classification
- Regression
- Linear
- Logistic
- Lasso
- Ridge
- Clustering
- Decision Tree
- Bagging
- Boosting
- Adaboost
- Gradient Boost
- XGBoost
- Random Forest
- Neural Network
- K-nearest neighbors
- Principal component analysis
- Feature Engineering
- Ensemble Learning
- Model Tuning
- Natural Language processing
- Computer vision
- Scikitlearn
- SKlearn
- Numpy
- Pandas
- Seaborn
- Matplotlib
- Lifelines
Certification
- Introduction to Artificial Intelligence (AI) certification from Great Learning
- Artificial Intelligence (AI) on Cloud certification from Great Learning
- Certified EIT and EIT NO.65942
- Volunteered as mentor in UT Austin, Texas (Fall-2019)
Accomplishments
- Honored with Academic Excellence award for Post Graduate DSBA program.
- Participated in Python Hackathon using Organ donor dataset for exploratory data analysis and time series.
- Received VSL Best Engineer award for FY2014 Q2.
- Received VSL ‘Numero Uno’ award under Innovator category for the FY15 Q4.
Projects
Predictive Modeling & Logistic Regression – Factors influencing Hotel Cancellations, Built a Predictive model that can predict factors that have a high influence on booking cancellations and help in formulating profitable policies for cancellation and refunds. Using Logistic Regression, Decision Tree, Pruning, Data Preprocessing, Exploratory Data Analysis and Data visualization. Business Statistics – A/B Testing – Website Optimization, Used A/B testing to identify the effectiveness of the new landing of an online news portal. Tested statistical hypothesis and determined which user groups (control/ treatment) activities were statistically relevant to customer conversion rate. Compared user activities of preferred language and time spent on page. The new landing page increased the conversion rate from 43% to 67%. Heart disease analysis, Conducted a comprehensive analysis of a renowned healthcare industry's heart disease dataset using Tableau. Developed interactive dashboards to identify key risk factors contributing to heart disease, providing actionable insights for prevention and treatment strategies.
Timeline
Data Analyst
Numpy Ninja
09.2024 - Current
Data Analyst
PSG Builders and Developers LLC
11.2022 - 03.2023
Methods Engineer
VSL India Pvt LTD
Post Graduate Program - Data Science and Business Analytics
MCCombs School of Business, University of Texas
Bachelors - Civil Engineering
Thiagarajar College of Engineering
Similar Profiles
Padmini ElangovanPadmini Elangovan
SDET at Numpy NinjaSDET at Numpy Ninja
Gomathi RajaGomathi Raja
Data Analyst at Numpy ninjaData Analyst at Numpy ninja
SHEILA STEPHENSHEILA STEPHEN
Data Analyst at Numpy NinjaData Analyst at Numpy Ninja
Anupama KodancheriAnupama Kodancheri
SDET at Numpy NinjaSDET at Numpy Ninja
Sandhya SrinivasanSandhya Srinivasan
Senior Director of Engineering at TrustRadiusSenior Director of Engineering at TrustRadius