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Profile evaluation | CS MS | GRE 317 (Q:166) | GPA 9.67 | ACM-ICPC qualified
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wadhwasahil Offline
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wadhwasahil Offline
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Profile evaluation | CS MS | GRE 317 (Q:166) | GPA 9.67 | ACM-ICPC qualified
Profile Evaluation for MS in CS, Fall 2018
Name: Sahil Wadhwa
College : Jamia Millia Islamia
Branch(UG): Computer Science(2012-16)
Field of Interest: Machine Learning, NLP
Degree Goal (MS/PhD): MS
GPA/Percentage (Do not Convert to US Scale): 9.66/10 on absolute scale
Topper's Percentage (or GPA):~ 9.8
Your rank in your class: 3
GRE: 317(V:151, Q:166)
AWA : 4
Toefl: Not taken yet
1. Data Analyst at Hoodoo
Worked on implementing a recommender system, to facilitate the user with the similar choices of items . Used Word2Vec to create words’ embeddings and finally using them to find similarity between two sentences/phrases.
2. Entrepreneur-in-Campus at Greymeter, India
Worked as Entrepreneur-in-Campus to build a strong and engaging community for students and to apprise them with the opportunities hosted by greymeter.
3. Data Analyst at Match[my]talent, India
Built an application which fetches google search results based on user queries and filters them using google keywords such as intitle, intext, inurl etc. to provide a seemly output.
Also worked on Google’s Custom Search API.
Work Experience
1. Modeling Analyst at Accenture Labs: - Will be working with one of the greatest people in NLP research in India.
2. Junior Data Scientist at Scry Analytics, India
Working on a heath-care project which aims to deliver high end analytics on cancer and its various aspects using the data in the form of reviews/posts written by patients and experts across the web. My work focuses on data engineering such as feature engineering, semantic analysis, Named Entity Recognition(NER), data flow and machine learning.
Submitted or Accepted Publications:
1. Chaotic hash function based plain-image dependent block ciphering tech-
nique. Advances in Computing, Communications and Informatics (ICACCI), IEEE, 2016
- Entity-based sentiment analysis using Phrase Extraction with LSTM and Relation Extraction with CNN.
- NER (Named Entity Recognition)Detection using LSTM and CRF.
- Relation Extraction b/w entities using Deep Learning(CNN + LSTM).
- Demographic profiling of users using Spark, GATE and HBase.
- Event Classification in Complex Videos using VGG and CNN_M architecture.
- Understanding the role of context in Object Recognition
Used GIST descriptor to improve object classification in images.
- Other misc projects in college
Misc Achievements:
1. Scholarship for an outstanding academics in the Computer Department of my university in 3rd year for coming 2nd in the department.
2. Stood 29th in India in TCS Codevita with over 10K teams.
3. All India Rank of 150 on CodeChef, India having over 5K active users.
4. ACM-ICPC qualified.
1. Stony Brook
2. UCI
3. Univ of Utah
4. USC
5. UMass Amherst
6. Texas A&M, College Park
7. Penn State, University Park
8. Ohio State
9. Univ of Minnesota, Twin Cities
10. NCSU
11. GaTech

Need to omit the above list based on Safe, Mod and Ambitous. Please advice what colleges should I add/subtract from my list according to my profile.
I would like to grow in the field of NLP, looking for univs which can provide good exposure to NLP and Data Science along with RA/TA if possible.

Extremely interested in TAMU, Univ of Minnesota, and UMass.
PS - I am skeptical about my GRE score which is 317. Can my gpa offset this or shall I retake it?

(This post was last modified: 10-11-2017 10:47 AM by wadhwasahil.)
10-02-2017 12:04 AM
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Profile evaluation | CS MS | GRE 317 (Q:166) | GPA 9.67 | ACM-ICPC qualified - wadhwasahil - 10-02-2017 12:04 AM

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