Manager Data

Murad Kotadiya

Deputy Manager Credit &

Operation

+91-971*******

*****.*******@*****.**

Ahmedabad, IN

SUMMARY

Experienced Analyst with a demonstrated history of working in the Banking, information technology, and services industry. Skilled in Microsoft Excel, Analytical Skills, Microsoft Word, Data Analysis, SQL Python, Machine Learning, Excel VBA, and Business Development. A strong business development professional with a Master of Business Administration (MBA) focused on Finance, from IBS Ahmedabad.

KEY SKILLS

•Advance Excel •Microsoft Excel proficient (Pivot Tables, V-Look Ups, Macros) • SQL • Data & Quantitative Analysis • Data Science • Big Data Analytics (Basic)

• Data Mining • Data Visualisation • Machine Learning Algorithms •Data Wrangling

TECHNICAL SKILLS

PROFESSIONAL EXPERIENCE

Deputy Manager Credit and Operations Dec '15 - Present Lendingkart Finance LTD Ahmedabad, IN

Lendingkart is one of the fastest growing Fintech startup Data Analysis

Data Wrangling

Key Achievements

photo_camera

Tools: Python, SQL, AWS, Hive(Basic), Spark (Basic), Sqoop (Basic), Packages: Scikit-Learn, Numpy, Scipy, Pandas, NLTK, Selenium, Matplotlib, Jupyter Notebook

Statistics/Machine Learning: Statistical Analysis, Linear/Logistic Regression, SVM, PCA, Decision Tree, Random Forests, K-Nearest neighbors, Adaboost, Xgboost, Naive Bayes, Apriori algorithm, K-Means Visualizing: Tableau, Qlik Sense, Excel, Power BI

Analyzing client CIBIL and Finacial document in order to make the credit decisions Work closely with Tech and Product team on automation of all credit underwriting processes Providing analyzed data and reports for the developed Machine Learning Models Cleaning, merging, manipulating datasets, and conducting feature engineering using Pandas Creating various MIS automation using Python and SQL Used Pandas and Selenium for auto file upload in system and client email communication Reduce overall Credit evaluation TAT

Automate Credit underwriting process

Identify Key variable which impacts credit decision Senior relationship manager May '15 - Dec '15

ICICI securities LTD Vapi, IN

ICICI securities is one of the largest equity broking firm Responsibilities:

Project

PROJECT 1: Income Classifier Edureka Jun'20 '

Brief: The project consists of Census data set with a variety of statistical information related to population, It typically includes information related to Age, Gender, Household composition, Employment Details, Accommodation Details, etc.

PROJECT 2: Consumer Complaint Resolution Edureka Mar'20 ' Brief: The project was about the complaints/follow-up questions raised by the unhappy consumers to the consumer services for their resolutions

PROJECT 3: Fraud Bank Statement identification (Python) Lendingkart Finance Limited May'19 ' Brief: Identified Bank statement is original or Fraud without human intervention PROJECT 4: Capstone Project: Natural Language Processing (Sentiment Analysis) Digital Vidhya Jan'19 ' Brief: The project consists of IMDB data set with the reviews of each movie, Make predictions based on the movie review’s whether it is positive or negative

PROJECT 5: VBA Automated Bank statement Lendingkart Finance Limited Dec'16 ' Brief: It is a VBA Based Automated Excel Bank statement conversion, which gives proper formatting with very little time(within a minute).

CERTIFICATIONS

Customer query resolution

Financial product selling (Insurance, Loan, LI, DEMAT, GI, MF) Create Hive Table Internal & External Tables and Partitioned & Non-partitioned Table and comparing the time taken by the query execution

Import Data from MySql using Sqoop, Access Hive Table using Spark and comparing the time taken by the query execution

Using PySpark Perform Exploratory Data Analysis(EDA), Data Cleaning and Created Build the following Classifiers LogisticRegression, Decision Tree, Random Forest, Gradient Boosted Tree, Naïve Bayes Explore Consumer Complaint dataset on parameters like Product, Issue, Consumer complaint narrative, Company public response, Consumer disputed, Timely response etc. Created a Machine Learning model after applying NLP, hyperparameter tuning and data science model such as Logistic Regression, Decision Tree, Random Forest, KNN, Adaboost, xgboost the complaints were identified which were at the higher potential to be disputed

Created a Machine Learning model using various data science models such as Logistic Regression, Decision Tree, Random Forest, KNN.

Post Graduate Certification in Data Science Electronics & ICT Academy IIT Guwahati Edureka Ongoing Data science using Python Digital Vidhya Feb'19 ' SQL Fundamental SoloLearn Mar'18 '

EDUCATION

MBA Jun '13 - Feb '15

IBS Business School Ahmedabad, IN

B.Tech - Mechanical Jun '08 - May '12

Gandhinagar Institute of Technology Gandhinagar, IN HSC Jun '07 - Mar '08

D M Barad Ghunsiya, 362150

SSC Jun '05 - Mar '06

Diamond High School Chitravad, 362150

CGPA: 8.05 / 10

CGPA: 6.52 / 10

CGPA: 66.42/ 100

CGPA: 76.00/ 100

Contact this candidate