Sudha Maremanda
Data AnalystSenior Software Engineer at Avalara
Avalara
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Software Engineer at Avalara
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dhirubhai Ambani Institute of Information and Communication Technology
Bachelor's Degree
January 1, 2005 – January 1, 2009
Avalara
Senior Software Engineer
February 1, 2019 – Present
Indix
Software Engineer - Machine Learning
December 1, 2017 – February 1, 2019
Greater Hyderabad Area
Phenom People
Machine Learning Engineer
September 1, 2013 – September 1, 2017
Greater Hyderabad Area
International Institute of Information Technology
Research Assistant
August 1, 2009 – May 1, 2013
Hyderabad, Telangana, India
Semantic Similar job search
October 1, 2014 – November 1, 2014
Developed a live system which suggests jobs to applicants which are semantically similar to the jobs he is interested in and to the jobs he has already applied to. Bayesian learning methods such as latent dirchlet allocation and hierarchal processes were used to build this system.
Event Management System
September 1, 2014 – Present
Analysed jobseekers activity on our careers website by capturing the click stream and deriving insights from the click streams.The insights derived are used to deliver personalised content to the jobseeker. Technologies include: Javascript, Apache Kafka, Mongo DB, Java etc The technologies used are JavaScript,Vertx,Kafka,MongoDB,Apache Pig . Vertx is used as bridge to connect the careers website and the Kafka system. All the activity is segregated into separate topics and stored in kafka. Kafka logs are consumed and parsed into user tables in Mongodb which provides scope for realtime analytics. Batch processing on kafka logs is done by pig scripting to derive required insights.
Recommendation Engine
October 1, 2013 – Present
Deployed a production recommendation system which suggests similar jobs, recommends jobs to users based on his social/professional network profile and his behavior on the website
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning Engineering and Research, with a strong focus on developing algorithms and systems. While there's a clear analytical component, the direct alignment with a 'Data Analyst' role, which often emphasizes reporting, dashboarding, and business intelligence, is not explicitly demonstrated. The projects are technically deep but lack explicit mention of business impact analysis or stakeholder communication, which are crucial for a Data Analyst. The diversity of roles (Research Assistant, ML Engineer, Senior Software Engineer) shows adaptability, but the core focus remains technical development rather than pure data analysis for business insights.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and the ability to work on complex, data-intensive systems. The experience as a Research Assistant suggests a capacity for independent research and algorithm development. However, without specific psychometric test results, a detailed assessment of soft skills and operational fit is limited.