HR Manager & Business Analyst
Resume:
Ruchira Manapure
********.*******@*****.***
Profile:
Over 8+ years of rich experience in Human Resource Management, Personnel Administration and Project Finance with demonstrated track record in Real estate and technology sector. Having a strong background of technical and management qualification, handling the role of HR Manager and responsible for the HR activities like employee grievances, employee engagement, manpower planning, recruitment & selection and training and development. A keen communicator with an ability to relate to people across all hierarchical levels in the organization. Possess ability to motivate people to achieve organizational objectives.
1 year and 8 months of Business System Analyst experience in technology domain. Skilled in business analysis, project management, data analysis, on-site/offshore team management, and coordination. Experience in working closely with project stakeholders (Sales, legal, compliance, call center team), SMEs, and technical teams to understand and write the requirements & specifications documents for various projects.
May 2019 to Oct 2023 – I was doing Doctorate in Business Administration and working on my thesis in Business Intelligence.
Education:
Doctorate in Business Administration (DBA) in Business Intelligence, Westcliff University, Irvine, CA 2023
Master of Business Administration (MBA) in Finance, Pune University 2008
Bachelor of Technology (B.Tech) in Cosmetology, Nagpur University 2004
Certified SAFe® 5 Agilist and CSM certified.
Tools/Skills set:
HRIS Management for Employees: Empetus - HRIS system.
Agile - Scrum Methodologies, Kanban, JIRA, Confluence,
UI/UX prototypes: Figma and InVision.
MS Office proficiency (Excel, PowerPoint, Word, PowerPoint, and Visio), SharePoint.
Collaboration tools: Slack, Zendesk, MS Teams.
Basic knowledge of SQL, XML, CSV, HTML, and standard metadata.
Fluent in Google Suite (G Suite), OneDrive, Outlook, MS Teams.
Methodologies: Agile and waterfall.
Work Experience:
Long Health, San Jose, CA Jan 2025 – Jan 2026
Business Analyst / Product Operations Analyst
Partnered with business stakeholders to gather and document functional requirements for AI-driven healthcare products, supporting sales, onboarding, and customer workflows.
Translated business needs into user stories, process flows, and acceptance criteria to support internal product and engineering discussions.
Collaborated with product, sales, and marketing teams on website and platform enhancements, contributing to UX improvements and feature prioritization.
Assisted with product discovery by analyzing customer feedback, sales insights, and market trends to inform product roadmap decisions.
Supported UAT activities by validating functionality against business requirements and coordinating feedback with internal teams.
Created process documentation and training materials to support internal users and sales enablement.
Acted as a liaison between sales teams and technical stakeholders to clarify requirements, data needs, and reporting expectations.
Cisco/TCS, San Jose, CA June 2022 to Jan 2023
Business System Analyst (Legal)
Worked on an e-billing platform including the creation of invoices.
Gathered requirements for the transitioning from the legacy (Team Connect) platform to the new platform called Litify (The Salesforce platform).
Created test cases and test plans and conducted UAT sessions with the IT department and business stakeholders.
Wrote user stories and acceptance criteria in JIRA and created test cases in Q-test.
In coordination with the development and UI/UX teams, I recommended UI changes for the new platform.
Responded to ad-hoc requests for data and reports. Created reports in salesforce based on the invoice data.
Provided direction, training, and guidance to the offshore team and led the e-billing process. Worked on the user manual, and VOD (Video on Demand) for submitting invoices through the salesforce platform.
In charge of conducting UAT with the Business users, gathered feedback, and providing the same to the development team.
Performed business analysis, the scope of the requirements, conducted GAP analysis, testing, and documentation of the test cases.
Planned and conducted requirements elicitation meetings with the business to collect functional and non-functional requirements relating to the client's Salesforce technology enhancement and initiatives.
Created data flow diagrams and process flow diagrams to facilitate better system understanding.
Worked with the product management team to understand new product offerings being built and work with analysts to recommend the right metrics to measure the performance of those features.
Created business rules and project related document in confluence.
Conducted meetings with the stakeholders to understand the business requirements and did the vendor assessment for the new tools.
DBA in Business Intelligence, Westcliff University, Irvine, CA May 2019 to Oct 2023
Summary: Fraudulent credit card transactions show record losses every year. Hence it has become imperative for technology experts to design a system that can accurately detect such fraudulent transactions for minimizing the losses to a certain extent. With the increased adoption and usage of credit cards, this industry has become more vulnerable to such fraudulent activities, paving the way for technology experts to design an efficient fraudulent detection system that can be based on algorithms supported by machine learning models. But to design such a system requires proper class distribution and stationary data which can be a challenging process since most of the data available is nonstationary and has irregularity in class distribution. Hence in this research, a hybrid technique of oversampling and under sampling was applied to the skewed data for balancing. European credit card holder's publicly available data were evaluated of which some of the data was masked due to confidentiality issues. The dataset for credit card fraud was used to train algorithms across an under-sampled dataset and over-sampled while not forgetting the original dataset. The evaluations were conducted to establish which algorithm could best predict fraudulent transactions. The performance of these algorithms was evaluated using parameters such as AUC score and ROC for assessing the accuracy and validation of it based on accuracy, sensitivity, specificity, and precision. All the work was done using Python. This research focuses mainly on finding the best alternative algorithm using the machine learning model that should generate fraud alerts more accurately. Supervised Machine learning classifiers Naïve Bayes (NB) and K-nearest neighbor (KNN) known for their computational efficiency and accuracy were evaluated on this skewed data and the comparative results between the two were recorded by identifying a pattern that was distinct from other patterns. Based on previous research findings, the study recommended improving the methodology by selecting an alternative resampling technique, such as the interpolation method, which did not support duplicated data. Avoiding adding duplicate observations to the collection further improved the quality of the results. The K-Nearest Neighbor on the oversampled dataset with 99.99% prediction accuracy was the most accurate model to forecast credit card fraud. This unique approach is crucial because its implementation will guarantee the immediate or quick discovery of fraudulent transactions and their prevention. This suggested that this strategy would help financial institutions reduce the use of stolen credit cards.
A2ZOnline services Pvt Ltd (PANCHSHIL), Pune- India Jan 2013 – March 2019
HR Manager/Generalist
Business Partnering: Defined new policies and improved existing processes & procedures for greater operational effectiveness & best practice within the org.
Employee Grievance: Addressed employee concerns & problems carefully. Gathered information – with all facts & figures. Identified the areas of improvements, offering amicable & mutually acceptable solution. Developed committed work force. Improvised overall working atmosphere by developing a happy workforce.
Employee Engagement: Part of Employee Engagement Team member -managed and assisted in employee engagement activities, career development and retention of employees. Helped introduced varied workshops including defence workshops for women, Sahaja Yoga meditation techniques under stress management and welfare of employees, safety programmes, team meetings, corporate sports activities, etc. to enhance the overall employee engagement level.
Employee Training & Development: Responsible for identifying training needs, evaluating the effectiveness of the training. Facilitate HR policy refresher sessions and induction administration to educate the employee about the company policies.
Performance Appraisal Process: Responsible for implementation of KRA based on PMS at various levels. Ensure employee’s development needs are considered in the goal setting process. To ensure performance from both perspectives, behavioural and results expectations are discussed, and feedback provided on an ongoing basis throughout the rating period. Ensured the performance review discussions are held as per guidelines where the managers discuss with employees their ratings, narratives, rationale for the evaluation given and plan developmental activities with employees.
Support & Compliance: Responsible for addressing employee issues, educating them on systems and processes and ensuring compliance to system, process, policies etc. Contributed in identifying employee concerns and designing initiatives to resolve them. Some of the initiatives include:
Employee Retention – Proactively identified potential attrition risks and partnered with departmental managers in minimizing the risks and thereby controlling attrition.
HRIS Management for Employées: Empetus - HRIS system.
Created employee database for all the new joining candidates.
Updated information and change in detail on regular basis.
Validated all the entries made in Empetus are same as used for payroll.
Operational HR Activities:
Joining Formalities:
On boarded the employee by completing joining documents and mandate statutory forms.
Responsible for briefing on employee handbook i.e. policies, rules & regulations and employee benefits.
Created Employee ID and employee record, intranet login creation, provided internal IT Infrastructure & telephone lines; updating it to departmental head
Responsible for Induction program for New hire.
Arranged Technical Training.
Responsible for employee documentation and filing related to joining formalities.
Exit Formalities
Conducted exit Interview of the resigned employee.
Exit clearance and full and final settlement of the respective employee.
Prepared of relieving letter and experience certificate.
Responsible for employee documentation and filing related to joining formalities.
Payroll Management:
Administered the payroll processing to ensure the disbursement employee salary on time.
Responsible for salary advice to the accounts department and other stakeholders furnishing the details of new employees, salary revision, resignations, and other relevant information.
Completed database maintenance of all the employees.
Single point of contact for corporate salary account agreements and negotiations, handling employee concerns and getting it resolved with relationship managers of the corporate bank.
General Administration:
Monitored attendance system and leave records via Empetus
Responsible for processing of invoices related to recruitment. Also, prepared Consultant Agreements.
Responsible for Employee engagement activities like birthday celebration, organizing events etc.
Managed and maintained employee database for assigned departments
Recruitment & Selection:
Managed end-to-end recruitment, including sourcing, screening, and shortlisting candidates for various departments and roles, from staff to VP level.
Coordinated campus selections, internal recruitment drives, and managed relationships with consultants for manpower needs.
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