Abdul Wahab Akram

Abdul Wahab Akram

$30/hr
Machine Learning
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
29 years old
Location:
Lahore, Punjab, Pakistan
Experience:
2 years
Abdul Wahab Akram Data Science, Advanced Analytics, Machine Learning +92 - |- in/abdul-wahab-akram- | Lahore, Punjab, Pakistan PROFESSIONAL EXPERIENCE 1. SLASHNEXT INC. | Lahore, Punjab, Pakistan DEC 2019 – present Machine Learning Engineer • • • Working as Machine Learning Engineer in NLP team which focuses on NLP based solution of phishing attacks. Major responsibilities are Data Extraction/Cleaning, Features Engineering, Models Training and Validation. Advanced tech skills & tools: Python, Bash Scripting, JIRA, Bitbucket, Confluence. 2. FAST-NUCES | Lahore, Punjab, Pakistan AUG 2019 – DEC 2019 Instructor • • Lab Instructor for courses of Programming Fundamentals and Object Oriented Programming. Responsibilities were to develop programming and problem solving skills in students through creative and practical programming tasks. Projects 1. MS Thesis: Fuzzy Clustering of Mixed Data in Apache SPARK ◦ ◦ ◦ A research on fuzzy based clustering of real world data possessing features of mixed type. Proposed an algorithm in Apache SPARK which produces fuzzy based partition of mixed mode data and assigns importance to each type of features in clustering process. Comparative analysis of proposed solution with state of the art algorithms. Advanced tech skills & tools: Python, NumPy, pandas, Scikit-Learn, GCP, PySpark. 2. Project: Sentiment Analysis and Classification of Tweets ◦ Advanced tech skills & tools: Python, Numpy, Pandas, NLTK, Keras, LSTM, WordCloud, Matplotlib, Seaborn. 3. Project: Dog’s Breed Classification using Deep Learning ◦ Advanced tech skills and tools: Python, Numpy, Pandas, Keras, CNN. 4. Project: Stock Market Predictions ◦ Advanced tech skills & tools: Python, Numpy, Pandas, Keras, LSTM, Matplotlib, Scikit-learn. 5. Project: Boston House Regression Dataset Prediction ◦ Advanced tech skills & tools: Python, Numpy, Pandas, Keras, Matplotlib, MLP. 6. Project: Classification of 6 different skin diseases using Deep Learning ◦ Advanced tech skills & tools: Python, Keras, Numpy, Pandas, CNN. EDUCATION FAST-NUCES, Lahore, Punjab, Pakistan 2018 - 2020 GIFT University, Gujranwala, Pakistan 2014 - 2018 Degree: Master of Science, Data Science. Degree: Bachelors in Engineering, Information and Communication System Engineering ACCOMPLISHMENTS 1. Gold Medalist ◦ Gold Medalist of MS (Data Science) Batch-, FAST-NUCES. 2. Runners up - Data Science Competiton ◦ Runners up of Data Science competition in SOFTEC'19 held at FAST-NUCES, Lahore. 3. Best Project of the Year ◦ Got Best project of the year award for project "Intelligent Tutoring System" during final year projects exhibition held at GIFT University.
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