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最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
職場能力評價定義
Umer Javed
I have 5 years of experience in the field of Data Science and product management. I have been the part of Healthcare industry as well as Software industry. I have been doing data analysis, reporting, applying machine learning models, and managing the product.
Skills
Data Science, Machine Learning, Deep Learning, Python, Linux, Google-Cloud-Platform, AWS, DevOps, SQL, Bash, Git, Jupyter Notebook, PyCharm, Java, Eclipse, Selenium
Work Experience
Software Engineer at EPAM Systems, Jun 2022 ~ Present
- Working as a Data Analyst role with client
- Handling large datasets to provide data analysis
Senior Data Scientist at Hauraki, Aug 2021 ~ May 2022
- Worked on Python related development tasks.
- Worked on sales, inventory, and financial forecasting models.
Associate Engineering Manager at VisionX, Mar 2021 ~ Aug 2021
- Managed the product.
- Communicated with the client.
- Lead the team of Data Scientists and Computer Vision Engineers.
Senior Data Scientist at VisionX, May 2020 ~ Mar 2021
I worked on following project:
- Receipts item level information extraction
- Communicated with the client.
- Lead the team of Data Scientists.
- Lead the team of Data Entry operators.
- Created analytical reports.
Data Scientist at VisionX, Sep 2019 ~ Apr 2020
I worked on following projects:
- Receipts information extraction using OCR
- Information extraction from digital invoices and classifying based on type
- Smart digital concierge to address customer queries
Senior Data Scientist at MTBC, Jan 2019 ~ Sep 2019
I lead/supervised following projects:
- Information extraction using OCR
- Interactive voice response automation
- Healthcare chatbot for talkEHR
Data Scientist at MTBC, Aug 2018 ~ Dec 2018
I lead/supervised following projects:
- Advanced healthcare assistant
- Auto complaint clustering
- Predicting ICD codes given an ICD code
- Support center messages redirection
- National drug code Extraction
Junior Data Scientist at MTBC, Jun 2017 ~ Jul 2018
I worked on following projects:
- Symptoms to ICD10 prediction
- History of presenting illness generation
- Financial forecasting for medical claims
Certifications
GCP Fundamentals: Core Infrastructure
Issuing Organization: Coursera
Issue Date: July 2020
Education
National University of Science and Technology, MS in Computer Science, 2018 ~ 2020
Majors: Deep/Machine Learning, Advanced Data Science, and Data Mining
Thesis: Forecasting of Electricity Generation for Hydro Power Plants [LSTM, RandomForest]
Publication: https://doi.org/10.1109/HONET50430.2020.9322841
National University of Computer and Emerging Sciences, BS in Computer Science, 2013 ~ 2017
Majors: Deep/Machine Learning, Data Mining, Artificial Intelligence, Distributed Computing, and Software Testing
Final Year Project: XRay2Report [Deep/Machine Learning, TensorFlow, Android, OpenCV]
Degree Projects
Clash Removal System [Python, Genetic and CSP Algorithms]
A clash removal schedule system for university by using AI algorithms.
Movie Recommender [Android, Collaborative Filtering, Content Provider, Retrofit, Picasso]
An android application for recommending movies and anime to the user based on user-user and item-item based collaborative filtering.
Person’s Activity Predictor [Python, RandomForest]
Trained and predicted the person’s motion given the data with a log loss of 0.00012 on 5 million records.
Chatterbox [Java, JavaFX, MySQL]
A hybrid version of Skype and WhatsApp with text translation embedded in chatting, having features like audio/video calling.
Awards & Honors
Listed in Dean’s List of NUCES-FAST
and Honors List of NUST
INTRAFAST'17 Speed Programming Competition Winner
NaSCon’18 DataScience Competition Winner
Umer Javed
I have 5 years of experience in the field of Data Science and product management. I have been the part of Healthcare industry as well as Software industry. I have been doing data analysis, reporting, applying machine learning models, and managing the product.
Skills
Data Science, Machine Learning, Deep Learning, Python, Linux, Google-Cloud-Platform, AWS, DevOps, SQL, Bash, Git, Jupyter Notebook, PyCharm, Java, Eclipse, Selenium
Work Experience
Software Engineer at EPAM Systems, Jun 2022 ~ Present
- Working as a Data Analyst role with client
- Handling large datasets to provide data analysis
Senior Data Scientist at Hauraki, Aug 2021 ~ May 2022
- Worked on Python related development tasks.
- Worked on sales, inventory, and financial forecasting models.
Associate Engineering Manager at VisionX, Mar 2021 ~ Aug 2021
- Managed the product.
- Communicated with the client.
- Lead the team of Data Scientists and Computer Vision Engineers.
Senior Data Scientist at VisionX, May 2020 ~ Mar 2021
I worked on following project:
- Receipts item level information extraction
- Communicated with the client.
- Lead the team of Data Scientists.
- Lead the team of Data Entry operators.
- Created analytical reports.
Data Scientist at VisionX, Sep 2019 ~ Apr 2020
I worked on following projects:
- Receipts information extraction using OCR
- Information extraction from digital invoices and classifying based on type
- Smart digital concierge to address customer queries
Senior Data Scientist at MTBC, Jan 2019 ~ Sep 2019
I lead/supervised following projects:
- Information extraction using OCR
- Interactive voice response automation
- Healthcare chatbot for talkEHR
Data Scientist at MTBC, Aug 2018 ~ Dec 2018
I lead/supervised following projects:
- Advanced healthcare assistant
- Auto complaint clustering
- Predicting ICD codes given an ICD code
- Support center messages redirection
- National drug code Extraction
Junior Data Scientist at MTBC, Jun 2017 ~ Jul 2018
I worked on following projects:
- Symptoms to ICD10 prediction
- History of presenting illness generation
- Financial forecasting for medical claims
Certifications
GCP Fundamentals: Core Infrastructure
Issuing Organization: Coursera
Issue Date: July 2020
Education
National University of Science and Technology, MS in Computer Science, 2018 ~ 2020
Majors: Deep/Machine Learning, Advanced Data Science, and Data Mining
Thesis: Forecasting of Electricity Generation for Hydro Power Plants [LSTM, RandomForest]
Publication: https://doi.org/10.1109/HONET50430.2020.9322841
National University of Computer and Emerging Sciences, BS in Computer Science, 2013 ~ 2017
Majors: Deep/Machine Learning, Data Mining, Artificial Intelligence, Distributed Computing, and Software Testing
Final Year Project: XRay2Report [Deep/Machine Learning, TensorFlow, Android, OpenCV]
Degree Projects
Clash Removal System [Python, Genetic and CSP Algorithms]
A clash removal schedule system for university by using AI algorithms.
Movie Recommender [Android, Collaborative Filtering, Content Provider, Retrofit, Picasso]
An android application for recommending movies and anime to the user based on user-user and item-item based collaborative filtering.
Person’s Activity Predictor [Python, RandomForest]
Trained and predicted the person’s motion given the data with a log loss of 0.00012 on 5 million records.
Chatterbox [Java, JavaFX, MySQL]
A hybrid version of Skype and WhatsApp with text translation embedded in chatting, having features like audio/video calling.
Awards & Honors
Listed in Dean’s List of NUCES-FAST
and Honors List of NUST
INTRAFAST'17 Speed Programming Competition Winner
NaSCon’18 DataScience Competition Winner