Resume

SKILLS

  • Data Analytics: SQL, Python, PyCharm, Jupyter Notebook, KPI generation & monitoring
  • Data Visualization: Tableau, Matplotlib, Seaborn, Apexcharts
  • Amazon AWS Cloud skills: (VPC, VPN, Load Balancers, Security Groups, EC2, S3, EFS, Glacier, Storage Gateway, Lambda, CloudFormation, RDS, EBS, CloudTrail, CloudWatch, VPC)
  • Web Development: HTML, CSS, JavaScript, VS Code, JSON
  • Version Control: GIT

EXPERIENCE

CONSULTANT DATA ANALYST
Scientific Canada Inc., Calgary | (2020) – (2021)
  • Payment analysis performed using MySQL and Python to recognize defaulters against services provided to optimize resource allocation which resulted in recovering ~12 million USD.
  • Feature engineering with Python to identify and implement KPIs for live dashboards using Python, and JS evaluating accounts with delayed payments detecting top 3 companies with most unpaid amounts ~7 million USD.
  • Synthesizing results in interactive web-based live dashboards using JS and Tableau for stakeholders with varying technical backgrounds.
  • Identified the billing method with highest revenue contributing percentage (over 40%) and recommended active promotion of this method to enhance profit margins.
  • Optimized data acquisition process by identifying critical information missing from datasets.
  • Pattern recognition in customer behaviour to expedite and streamline payment retrieval process.
  • Used GIT as version control for quality maintenance and effortless team collaboration.
  • Key team member liaising with third party to ensure timely delivery of projects.
DATA ANALYST – GEOSCIENCES
United Energy Pakistan, Karachi | (2012) – (2019)
  • Performed advance analytics on large multi-disciplinary data using SQL and Excel to identify top 10 opportunities from 400+ hydrocarbon wells, optimizing across 3 data dimensions for annual planning.
  • Took lead on executing attribute analysis using supervised and unsupervised classification for sub-surface pattern detection on 8-dimensional data to predict subsurface properties, reduce uncertainty in future opportunities and improve hydrocarbon targeting, saving ~3.0 million USD.
  • Took initiative to collaborate and obtain new well approval from six cross functional teams to reduce cost of project by ~2.0 million USD by changing well trajectory and removing excess pipelines.
  • Regularly employed regression analysis for time to depth conversion of 3D seismic data using Python to predict reservoir depth with ~0.9 coeficeint of correlation.
  • Performed ETL on raw wireline data to standardize and normalize data across multiple sources, remove noise with correlation and estimation of missing parameters across all dimensions.
  • Performed risk assessment through uncertainty reduction to predict chance of success by 85% for new wells by geomechanical stress analysis.
  • Networked & coordinated with auditors, joint venture partners and regulatory authorities for prompt project approvals.
  • Demonstrated statistical understanding by employing statistical methods to estimate hydrocarbon in-place numbers using GEOX statistical volumes calculation software and Oracle Crystal ball plugin
  • Exhibit understanding of time series analysis by using it on VSP data to predict unknown properties of a planned well in a new location
  • Used cross plots & regional correlations to evaluate well contact information
  • Responsible for regular joint venture and technical asset evaluation communication with stakeholders
  • Demonstrated attention to detail and responsibility by ensuring all regulatory reports for my projects were created and filed on time

LAB WORK

  • Practical experience with creating EC2 Instances, S3 buckets, configuring Amazon VPC, using Load Balancers, Auto Scaling, AWS CLI, creating and attaching IAM roles and security groups.
  • Used Amazon Athena to create and execute SQL queries on AWS CloudTrail logs using search tags and usernames to explore users and their activities in the account.
  • Performed S3 object manipulation using AWS Lambda Function in python to give the word count of stored objects. Subsequently, created a SNS topic to send automatic emails containing the word count for every new object uploaded.
  • Successfully applied CloudFormation technology using JSON to deploy a suite to resources containing VPC, Subnets, IGW, NAT Gateway, EC2, AMI, and S3.

PROJECTS

Employing NLP for Multiclass Classification on Redditt and Twitter Data to Detect Career Inclinations

Identify if the interest of people can be correlated with what they write on social media to help them recognize their career inclinations.

  • Used ML & NLP techniques for model training and testing
  • Employed decision trees & logistic regression - hyper-parameter optimization and cross validation
  • Model Evaluation through, accuracy, precision, recall and f1 score
  • Demonstrated model transferability by applying finalized model on celebrity Twitter profiles

CERTIFICATION

AWS CLOUD PRACTIONER CERTIFICATION (Dec 2021)

EDUCATION

  • AWS re/Start - AWS/YES - DEC 2021 - Toronto, ON

  • DIPLOMA DATA SCIENCE - Brain Station - JUN 2020 - TORONTO, ON

  • MS GEOLOGY - Bahria University - SEP 2013 - Honor: Cum Laude

  • BS GEOPHYSICS - Bahria University - SEP 2010 - Honor: Cum Laude

Contact me

madihamufti@gmail.com