Post Job Free

Resume

Sign in

Ames Forest

Location:
Ames, IA
Posted:
March 29, 2022

Contact this candidate

Resume:

Work Experience

Evaluated financial documentation such as credit reports, processing history, and bank statements to analyze risk.

Reviewed profit & loss statements, identify metrics trends & opportunities. Participated in compliance record keeping and marketing initiatives. Spent a week in core divisions of the bank including Risk Management, Treasury, Consumer Banking and Operations, and Trade Finance.

Create technical reports, manuals for end-users, & evaluate new system resources & processes Develop workflow charts for system changes, conduct research, and compile data about customer & industry trends.

Business Intern

AL Hilal Bank Abu Dhabi, UAE Jan 2015 - April 2015 224 S Kellogg Ave, Unit 1, Ames, IA 50010 515-***-**** adqmqv@r.postjobfree.com Iowa State University Dec. 2021

Ames, IA

Master of Science, Information Systems &

Business Analytics

Iowa State University Dec. 2019

Ames, IA

Bachelor of Science, Accounting &

Management Information Systems

Educational Background

Enthusiastic entry-level data analytics professional with a Master's in Information Systems & Business Analytics and Accounting & Management Information Systems in Bachelors. Creative and dedicated with expertise to Collaborate with team members to collect and analyze data. Passionate about working with executives and business leaders to identify opportunities for improvement, and with a team of analysts and other associates for information processing. Excellent communication, decision-making skills, and experience to develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks. Possesses skills to identify trends and opportunities for growth through analysis of complex data sets, evaluate organizational methods, and provide source-to-target mappings and information-model for data sets. Ability to create best-practice reports based on data mining, analysis, visualization, and to evaluate internal systems for efficiency by developing and maintaining protocols for handling, processing, and cleaning data. Skills & Proficiencies

Task Management tools for development like Jira and MS Project. Sampling/Analytical programs like SAS Enterprise Miner, RapidMiner, and Tableau. Selenium testing (Passed foundation certification exam in ISQi) and RPA Microsoft Office. Intermediate in programming languages such as JavaScript, SQL, Python. ABDULLAH CHAUDHARY

D A T A A N A L Y T I C S C OMPUTER I N F O RMATION S Y S T E M S ACADEMIC PROJECT EXPERIENCE

Leveraged dataset to predict burnout rate of employees due to the taxing matters covid-19 was causing based on common predictors. Hypertuned the data through the use of python with KNN, Decision Tree, Random Forest, and XGBoost. Analyzed and evaluated the models of their respective and relevant scores. Decision to focus on an employee burnout rate dataset to pinpoint which they are more likely to burn out, and give suggestions to prevent mental stress based on the analysis.

Classified two sentences in dataset to see if they supported each other, contradicted each other, or were neutral. Leveraged training sets in 15+ different languages using BertModel and Tensorflow. Utilized BERT encoding to create a Natural Language Inference model to see if sentences were related. Created an NLI model that assigned labels of 0, 1, or 2 (corresponding to entailment, neutral, and contradiction) to pairs of premises and hypotheses.

Model could be used for feedback analytics and sentiment analysis. Predicted sales price of residential homes in Ames, Iowa using real estate data and exploratory variables. Created and tested two separate prediction models through Random Forest and xgboost via python. Observed how different variables have an effect on the house price and importance of key variables according to the models used. Developed data visualizations and analysis through Tableau to showcase results Business Analytics Foundation, Predicting Burnout Rates based on HackerEarth Machine Learning Data Advanced Business Analytics, Detecting Contradiction and Entailment in Multilingual Text Using TPUs Applications of Machine Learning for Business Intelligence, A Regression Problem Predicting House Prices in/abdachd

I hereby declare that all the above information is true to the best of my knowledge and belief. Abdullah Chaudhary



Contact this candidate